At TU Berlin, I studied Electrical Engineering with a focus on automation and control towards my Bachelor’s and Master’s degrees. During this valuable time, I gained deep knowledge in many areas of control and measurement data processing, including classic and modern control concepts, modelling, simulation, optimisation, and machine learning. Additionally, I had the chance to apply my skills throughout multiple challenging employments in Germany and the United States, covering test engineering for driver-assistance systems, signal processing for medical applications, and machine learning for production optimisation in the aerospace industry. My previous research publications deal with iterative learning control and event-triggered learning. To conclude, I am at the crossroads between measurement data processing, control engineering, optimisation, and learning algorithms. Since autonomous intelligent systems in particular often require unified solutions with contributions from all those fields, the AIMS CDT at the University of Oxford is an excellent place to shed some light on dark corners of adjacent streets.
I studied medicine at the University of Erlangen-Nuremberg and the University of Wuerzburg, Germany. Parallel to studying, I worked as a research assistant in neuroscience, immunology and global health. I developed algorithms and mathematical models for biomedical problems but also got my fair share of experience working in wet-lab research and designing and conducting clinical trials. During that time, I co-authored 9 peer-reviewed publications which were cited more than 180 times. In 2018, I started a one-year master’s degree in Operational Research with Data Science at the University of Edinburgh. In my MSc project, I worked on innovative deep learning-based approaches to medical image analysis with Prof. Amos Storkey. My main research interests are AI safety, and applications of AI in medicine and biomedical research. I care a lot about making a positive contribution to society. In practise, this means that I tend to gravitate towards questions that I perceive to be under-researched relative to their potential relevance, and always try to keep an eye open for possible applications of my research. In my spare time, I co-supervise high-impact clinical trials (currently one on cognitive enhancement and one on depression treatment), make music (badly), like to nerd out on ‘Effective Altruism’, and enjoy various ways of moving my body (running, weightlifting, salsa dancing, …).
I graduated with a MEng in Engineering Science from the University of Oxford in 2018, specialising in Control and Information Engineering, after completing a final year project on distributed optimisation for energy management in buildings. Over the last year I have been working at Energy Futures Lab at Imperial College London conducting a scoping study on electric mobility in urban areas across Sub-Saharan Africa, investigating the key challenges and opportunities. My research interests include control strategies in multi-agent systems, with particular regard to privacy and security concerns.
I grew up in Dorking, Surrey before studying Natural Sciences (specialising in Physics) at Christ’s College, Cambridge. I spent a summer as a research intern for ATLAS, CERN searching for signal of a specific Top quark decay channel and another summer at Oxford writing scripts to scan for possible dark matter particle candidates from supersymmetry. I graduated from Cambridge with an MSci in 2018 and, since then, I have worked for the Centre for the Study of Existential Risk, a think tank dedicated to the study and mitigation of risks threatening human extinction. In my spare time, I’m often running, cycling or debating politics and philosophy. I am excited by the breadth of topics covered in the AIMS CDT programme and I look forward to joining the mission of building safe, scalable and beneficial AI systems.
I grew up in Japan, and completed MEng in Engineering Science at the University of Oxford. I worked on robot path planning for multiple target regions for my master’s thesis at the Oxford Robotics Institute. I am interested in applications of machine learning to education, healthcare, environmental issues, and other social issues. I developed a prototype of a chatbot to help students manage stress and anxiety for Microsoft Imagine Cup UK 2018. For RoboCup 2019, I was in charge of speech recognition as part of the Oxford team. I am particularly interested in explainable deep learning models, reinforcement learning and active learning, and wish to better understand the mechanism of logic and reasoning. I enjoy musicals, composing music, web design and travelling in my free time.
I grew up in Aberdeen in the north of Scotland and graduated with a Master’s in Mathematics and Computer Science from Balliol College, Oxford in 2019. My Master’s project was in reinforcement learning with corrupt or noisy reward and involved the study of randomised agents to overcome reward corruption. My areas of interest are in reinforcement learning, deep learning and multi-agent systems, and I’m excited to continue exploring these areas in the AIMS CDT. During my undergraduate degree, I had the opportunity to undertake internships at Metaswitch, Barclays and Jump Trading where I worked in software engineering and systematic trading. Outside of academia, I’m a keen runner, skier and foodie, and you can catch me jogging down Port Meadow and the Thames!
Before joining the AIMS CDT, I was a physics student at the University of Heidelberg in Germany, where I actually ended up doing a lot of computer architecture related work. I even got to be a research assistant and tutor for technical computer science. Today, I am particularly interested in alternative approaches to computing, like quantum and neuromorphic architectures and their connection to AI research. Talk to me about food and video games!
After growing up in a beautiful mountainous area of Kurdistan I moved to the UK and studied Computer Science and Artificial Intelligence at the University of Sussex. My final year project focussed on using deep learning to infer connections between neurons in biological neural networks. It introduced a novel neural network architecture which set the benchmark and outperformed existing computational methods for this problem. I was proud to be awarded the Brandwatch ‘Best Artificial Intelligence Project’ prize for my achievement. In a professional capacity I have developed a bespoke recruitment and management system used by Further Education colleges across the UK. My main area of interest is the development of machine learning algorithms across the interdisciplinary fields of health and robotics.
I grew up in Germany and graduated with a BSc Hons in Computer Science from the University of Edinburgh in 2019. In my honours project I worked with the Institute for Genetics and Molecular Medicine in Edinburgh on analysing images of cancer tissue. During my studies I did internships in the Statistical Machine Translation group in Edinburgh and at the Bosch Center for Artificial Intelligence in Stuttgart. Outside of studying I enjoy running, playing football and exploring all kinds of sports.
I’m Mrinank. I grew up in the Wirral, right by Liverpool before starting my undergraduate studies at the Engineering Department at the University of Cambridge, during which I was at Pembroke College. I graduated in Information and Computer Engineering, primarily specialising in Machine Learning with additional modules in Bioengineering. I worked with Dr Richard Turner on my masters’ project: Differential Privacy & Approximate Bayesian Inference. I am particularly interested in probabilistic machine learning and hope to not only contribute to the field but also use advanced AI techniques to make a positive social impact. I am also interested in AI ethics, safety and policy. In my free time, I especially enjoy playing and watching football (I am a massive Liverpool fan) as well as reading.
I'm from Apulia, southern Italy, but in the last few years I spent time closer to the Alps than the Mediterranean. I got my Bachelor in Computer Engineering from Politecnico di Torino and a Master's in Computer Science from ETH Zurich. There, I first focused on distributed computing and later converged to machine learning. Willing to combine these two interests, I spent 6 months at MIT for my Master's thesis on distributed approximate Similarity Search and, after graduation, I worked on parallel Bayesian Optimization at IBM Research Zurich. My current interests lie at the intersection between optimization and machine learning and I am therefore very excited to join the AIMS CDT, where I will strengthen and extend my theoretical background in these areas. During my free time, I'll be printing analog photography, shooting many more photographs than I can print, and pretending I can play guitar.
I am from Lusaka, Zambia and graduated from Harvard College with a Bachelor’s in Physics and a Master’s in Computational Science. During college, I worked in the Kaxiras Group where I developed a deep interest in using machine learning techniques to solve physics problems, especially those relating to the discovery of novel materials for renewable technology. I am therefore excited to pursue this interest further through the AIMS DPhil and the generous support of the Rhodes Scholarship.
I grew up in North West England and graduated from Jesus College, Cambridge in 2015 with a master's in mathematics with astrophysics. Before coming to Oxford I worked as a quant in a hedge fund, where I was in a team designing and building systematic trading strategies. My work exposed me to ideas from programming, data science and statistics and following this I became interested in machine learning and later in AI more broadly. I am excited to start the AIMS programme and I hope that the experience will equip me to contribute to these fields.
Originally from Philadelphia, USA, I completed my BSc in Computer Science and my BA in Pure Mathematics at Washington University in Saint Louis. In 2017 I moved to the UK to work towards my MSc in Applicable Mathematics at The London School of Economics. My research interests include Artificial Intelligence and Multi-Agent Systems, particularly the fields of mechanism design and algorithmic game theory.
I was born in Rawalpindi, Pakistan, but grew up in London. I graduated from Balliol College, University of Oxford with a Master of Engineering (MEng) in 2018. It was the pursuit of this degree that led me to develop an interest in autonomous systems. My final year project focussed on Bayesian Quadrature, and I'm excited to continue working on probabilistic numerical methods and their application to machine learning during the AIMS CDT. Outside of engineering, I enjoy rowing, running, and travelling.
I am from Sheffield, South Yorkshire and graduated in 2018 with an MEng in Engineering Science from Somerville College, Oxford. I spent my 4th year at Princeton University where my thesis focused on the experimental analysis of an integrated photonics circuit for wireless communications. At Princeton, my interest in machine learning began and I am excited to learn more about autonomous systems during my AIMS studies. I am an avid traveller and in my spare time I enjoy playing cricket and listening to political debates.
Originally from Romania, I grew up in Southern Germany. After studying Computer Science and Mathematics at the Technical University in Munich, I spent a couple of years in Zurich as a software engineer at Google/YouTube. I moved to London and worked as a performance research engineer at DeepMind for a year. I'm interested in Bayesian Deep Learning and ethics and safety in AI.
I'm from Russia where I studied economics (BA) in Moscow State Institute of International Relations, and applied mathematics and computer science (BSc) in Moscow State University. Then I got my Media Informatics master's degree from RWTH Aachen University in Germany writing my thesis on Learning from Demonstration. I'm particularly interested in how machine learning models (especially in reinforcement learning) can use any prior information we can provide: human demonstrations, knowledge databases, other models predictions.
I graduated with a Masters in Engineering Science from the University of Oxford in 2018. My Master’s project was in the field of Model Predictive Control subject to probabilistic constraints. The consequent controllers rejected unknown disturbances and could adapt to system parameters which vary slowly over time. Both controllers used a scenario approach to approximate the probabilistic constraints with linear ones. My areas of interest are in control for legged robots, path planning and computer vision. Before university, I spent a gap year in industry in Cambridge, UK working for an engineering company in medical technologies. I am also a keen pilot.
I grew up in South West England and completed my MEng undergraduate degree at St. Catherine's College, Oxford in Engineering Science. My main academic interests lie in Machine Learning, Network Systems and Control Systems. These were first realised during a summer internship at the Oxford MAN Institute, where I investigated the relationships between unstructured financial data sets. I then went on to specialise in Information Engineering and Mathematics in my final year of university and for my Master's Project I investigated the stability of pipe flow by using a novel control theory perspective. Outside of academia I am heavily involved in athletics as a 400m runner, but also enjoy surfing, various outdoor pursuits and (trying) to keep up with technology.
After getting two undergraduate degrees, first in engineering and then in mathematics, and taking some parallel graduate-level classes at the university in my hometown, Paderborn, I had the opportunity to pursue an internship at an aerospace research center in the United States. Following this experience, I did my master’s in mathematical Modelling and Scientific Computing at Oxford, where I focused on statistical mechanics and swarm robotics. I took a year out between my master’s and PhD to learn some Spanish in Salamanca, intern at a company working on autonomous driving in Munich, and co-lead the Tech and HR teams of the pan-European movement. In the AIMS CDT, I will be focusing on multi-objective optimal control and how it can interface with other AI-relevant topics, like machine learning and formal verification.
I am originally from Estonia where I also grew up before reading for the Engineering Tripos at the University of Cambridge. During the later years of my course I specialised in Information Engineering. My final project was about applying machine learning methods to self-optimise the performance of real life robots. AIMS CDT provides an excellent opportunity to combine my different areas of interest, including machine learning and robotics. I spend most of my free time on travelling and I enjoy recording and systematically analysing my travel patterns.
I grew up in Leighton Buzzard, in Bedfordshire, and I first attended UCL where I attained my MSci in Mathematics. Following this, I completed my MSc in Computer Science at the University of Oxford, where I explored the notion of local equilibria in Boolean Games. I then worked at IBM as part of the Automation team before returning to Oxford for the AIMS CDT. My primary research interests lie in computational game theory, the foundations of artificial intelligence, and machine learning. In my spare time, I enjoy the work of David Lynch, I like playing chess and I have recently developed an interest in photography.
I work on Deep Learning Efficiency under the supervision of Dr. Nicholas Lane and Dr. Niki Trigoni. The early applications of my work are in the resource constrained interference for embedded and wearable devices. My long-term aim is to develop and popularize my concept of Rational Automated Machine Learner – a learning paradigm whereby a wider set of resource costs and preference considerations can be consulted along with the model accuracy in the AutoML process. I have background in Statistics and Computer Science (MSc UCL), Econometrics (MPhil Oxford), and Economics (BSc Amsterdam). In my very early career, I was a research assistant at the Experimental Oncology Institute of the Slovak Academy of Sciences.
I received my BSc from the University of Ioannina, Greece and my M.Sc. in Machine Learning from the University of Bristol. During my M.Sc., I carried out research on sequence prediction models for interactive music improvisation. Prior to joining Oxford, I spent several years in the IT industry, during which I had the opportunity to work for Microsoft, Autodesk Research (Generative Design team), Brave Research (Privacy Preserving Machine Learning) and a startup I co-founded, Filisia Interfaces (Special Education and Rehabilitation HCI). I spend most of my free time making music and thinking about philosophy, nature and culture.
I was born in Atlanta, GA in the US but grew up in the beautiful county of Shropshire in England. However, you can probably tell from my name my dad is a proud Welshman! For my undergraduate degree I studied Physics at the University of Manchester (MPhys), although in the last few years it I’ve became increasingly interested in machine learning and AI as a result of an internship I did and subsequently my Master’s project using machine learning for lung cancer imaging at the Christie Hospital in Manchester. I’m particularly interested in the use of intelligent systems in medicine and am thrilled to have my studies at the CDT funded by Cancer Research UK. When I’m not working, I’m usually playing sports (in particular rugby and running) with the occasional foray into baking.
I am originally from Trinidad and Tobago, the twin-island republic in the Caribbean. Upon completing my high school studies in Trinidad, I enrolled as an undergraduate student at Harvard University where I received a Bachelor of Arts degree in Computer Science. At Harvard, I had the opportunity to pursue software engineering internships at Facebook, Goldman Sachs, Instagram and B12. Upon taking classes in both machine learning and artificial intelligence at Harvard, my interest in machine learning got piqued when I interned on the Instagram Machine Learning team, where I built out the core infrastructure to add support to multi-task multi-label neural network models to personalize experiences on Instagram Feed and Explore. I am excited to pursue this interest further through the AIMS program and the generous support of the Rhodes Scholarship.
I was born and raised in Athens, Greece, where I also studied Electrical and Computer Engineering in the National Technical University of Athens. During my undergraduate studies, I developed an interest in Machine Intelligence and its correlation with Biomedical Engineering, especially the areas of neural networks, computer vision and pattern recognition and how they could work towards imitating human behaviour. I am very excited to join the CDT in AIMS, study these interconnected areas and gain knowledge and interest in new scientific fields. Outside of studies, I enjoy travelling, dancing the lindy hop and other swing dances and listening to music!
I am a Japanese German and studied physics at the LMU Munich (with an exchange semester at the University of Tokyo). During that time, I also started a second BSc in economics which I recently finished with my thesis at the Potsdam Institute for Climate Impact studies. After my physics degree, I spent a year founding a non-profit student consultancy in Munich and gaining some practical experiences. This was followed by the MSc in Mathematical Modelling Scientific Computing at the University of Oxford where I focussed on complex networks, machine learning, mathematical analytics and complexity economics. This naturally lead me to a machine learning internship at TransferWise and also to this CDT where I am excited to work on impactful challenges.
I was born and raised in South West England and graduated in 2016 with a Master of Physics (MPhys) from Oriel College, Oxford. I spent the following year working as an Investment Analyst and Trader in London. During my studies, I worked in an interdisciplinary research group where I developed and compared computational models of photon and proton therapy treatment plans for Glioblastoma Multiforme patients. I also worked in a Condensed Matter group investigating, and building apparatus for, the manipulation of microscopic particles in electrodynamic traps. The interdisciplinary nature of the AIMS CDT greatly appeals to me and I am very excited to be starting in October 2017.
I was born and raised in Aurangabad, India, an industrial town which significantly contributed towards my passion for industrial research. I obtained my Bachelor’s in Electronics Engineering from the University of Mumbai where my primary focus was on developing Embedded Systems solutions for Mobile Robotics applications. In Oxford, I focus on using Machine Learning techniques to Optimize Non-Linear Control in Under-actuated Robotic Systems. Being a part of the Dynamic Robot Systems Group at the Oxford Robotics Institute, my work includes using a hierarchical approach towards Classical Control theory to supervise Reinforcement Learning for control of robotic platforms such as Autonomous Aerial Vehicles and Quadrupedal Robotic Systems.
Originally from Taiwan, I have spent most of my time in Paris over the past six years. Two years of theoretical mathematics and physics at Lycée Louis Le Grand have prepared me to enter Ecole Polytechnique, where I have studied a broad range of scientific subjects, with an emphasis on Computer Science. I also completed an MSc in Data Science in the Department of Applied Mathematics at the University of Paris-Saclay. During my studies, I have developed interests in reinforcement learning and robotics. I am thrilled to explore different topics in the field of AIMS. Outside of work, I enjoy high energy activities, such as hiking, running and swimming, and also extreme sports, gliding and scuba diving.
I’m from Hamburg, Northern Germany. I graduated this year with a Master in Maths and Computer Science (MMathCompSci) from Worcester College, Oxford. My master thesis included complexity results in the area of computational choice theory. Having focused on various fields of AI such as machine learning and game theory in my final year, I’m looking forward to applying these skills to robotics as part of the CDT for Autonomous Intelligent Machines and Systems. My hobbies include piano, football, tennis and hockey, as well as windsurfing and skiing.
I’m from Northampton in the East Midlands of England. I did my undergraduate degree at the University of Warwick where I studied Discrete Mathematics, a combination of computer science, mathematics and statistics. I then ventured into applying mathematics to biology at the University of Cambridge where I completed an MPhil in Computational Biology before spending a year working for the university as a research assistant modelling epigenetics at the MRC Biostatistics Unit. My current primary research interests are graph signal processing and understanding graph convolutional neural networks.
I am from Rabat, Morocco, where I studied advanced Mathematics and Physics at Lycée Moulay Youssef Preparatory Classes. I completed my Engineering degree in signal and image processing at ENSEIRB-MATMECA in Bordeaux, France, followed by a MSc in applied mathematics with a focus on machine learning and computer vision at Ecole Normale Superieure of Cachan (Paris area). After a three-year experience in the autonomous driving field, working on perception solutions, I am thrilled to deepen my academic knowledge in Artificial Intelligence as a part of the CDT in AIMS. Apart from that, my hobbies include learning foreign languages (lately Japanese) and playing the harp.
Graduated from Maynooth University with a degree in Computational Thinking. During this time I was an exchange student in University of Toronto where my interest in Computer Vision and Machine Learning began. During my final year project I worked on machine perception, object recognition and tracking which I hope to explore further as part of the AIMS program. Outside of this I enjoy cycling, technology, traveling and solving problems.
I am from Essex, UK and lived in Durham for my Masters degree in physics. I was a geophysicist for BP for five years, living in London. During this time I wrote a patent about seismic imaging, helped to explore for oil and gas fields in Egypt and co-founded a data science community in BP which connected over four hundred people worldwide. Before BP I developed a novel navigational warfare system with the Ministry of Defence and worked as a financial analyst during the London 2012 Olympic Games. For my Masters project I researched next-generation spectrometers for their use in astronomy. I have a strong interest in the field of AI, its ethics, its widespread applications in industry and the integration of learning and reasoning systems. In my spare time I am learning to play the piano, volunteer for a homeless charity and love a good bouldering problem.
I'm from Cambridge where I grew up and attended school. In 2014 I graduated from Imperial College London with an MEng in Mechanical Engineering. After working for an engineering consultancy firm for roughly a year in 2016 I decided to return to academia and pursue my interest in machine learning by studying an MSc in Computational Statistics and Machine Learning at UCL. I have a particular interest in machine vision and its application to self driving cars. This topic will be the focus of my DPhil which I will complete with help from my sponsors Toshiba & EPSRC.
I graduated with a MEng in Engineering Science from Oxford in 2017. My masters project involved creating a framework for running convolutional neural networks on mobile GPUs. I look forward to getting more experience with CNNs and other areas of vison/learning during my AIMS studies. I’ve always loved technology and I’m excited by the fact that AIMS will allow me to pursue a career helping to build some of the most innovative new technologies.
I am from Cologne, Germany. I received a B.S. in Applied Mathematics and Economics from Yale University and an M.Sc. in Applied Statistics from the University of Oxford, where I’ve been fortunate enough to be supported by the Rhodes Scholarship. During my time at Yale, I also studied theoretical computer science, quantum physics, analytic philosophy, and history while conducting research on game theory, financial economics, and international trade theory. My interest in computational learning theory and my work in game theory ultimately led to my transition to statistics and machine learning. Prior to studying statistics at Oxford, I was a consultant at the European Central Bank, worked as a research assistant in economics, and interned in bond trading. My current research interests span the theory and applications of Bayesian statistics, deep learning, and reinforcement learning. In my spare time, I enjoy reading philosophy, learning Mandarin, and playing recreational sports.
I'm from Chesterfield in north Derbyshire. I did an MPhys at the University of Manchester, and during my degree I became interested in programming, statistics and machine learning. During my time at Manchester, I spent a summer on an undergraduate science program in South Korea, experimented with ways to improve the vision system in a robot arm with a company in Cambridge, and did my final year project on learning algorithms for detecting pulsars and transients in radio astronomy. I'm really excited to do more work on machine intelligence and related fields with the CDT.
I was born and raised in Thessaloniki, Greece, where I obtained a diploma in Electrical and Computer Engineering from the Aristotle University. During my studies there, I participated in the Pandora robotics team as a software architect. I have also worked and studied in Zürich and Madrid. I am interested in machine learning, particularly the use of deep and reinforcement learning for the development of autonomous agents. I am enthusiastic about traveling and enjoy swimming, football and cinema.
Graduated MEng Engineering Science from the University of Oxford 2013. The last 3 years I have been working with IBM Research Africa in Nairobi, Kenya. Developing applied technology solutions in the domains of Education and Healthcare. I look forward to furthering my academic interest in machine intelligence, towards tackling new challenges with technology.
I am from Erlangen, Germany (close to Nuremberg and two hours north of Munich). I studied physics at the Universities of Erlangen, Heidelberg, and Imperial College London. Alongside my studies, I gained experience in consulting, co-founded a startup and did some awesome sports climbing. In physics, I have enjoyed computational work the most, specifically developing and implementing complex algorithms. In my twelve-month M.Sc. project (in Germany the M.Sc. lasts for two years), I simulated virus self-assembly in hydrodynamic flow. Fascinated by recent developments in artificial intelligence and by the possibilities which have opened up, I am thrilled to join the AIMS CDT in October 2016.
Graduated in Computational Physics from The University of Edinburgh. Meanwhile studying I spent a year abroad at University of California, Berkeley where my interest in machine learning started. I am interested in high-tech and software industries, automation (especially using cutting-edge machine learning solutions), IoT, sensor networks, big data trends and data science. Apart from that I’m a fan of plain text emails, amateur gym-goer and an avid FIFA player.
I'm from London. I did my undergraduate degree at Imperial College, where I studied Computing. During this time I made a bare metal chess game in assembly and interned at Google London and Zurich. I look forward to exploring machine learning and computer vision in the CDT. My hobbies include music and writing.
I am from Beijing, China and have been studying in the UK for the last 6 years. I have gained huge interest from my undergrad and master degree of Engineering at Oxford in the areas of machine learning, networks, signal processing and robotics, and wish to gain further knowledge of them during my postgraduate study. I like technology, travel and food, and love to meet people sharing the same interests!
I am from Catania, Italy. I have received the BSc degree in Mathematics from the University of Catania, with a thesis on evolutionary algorithms for solar cell design. Pareto-oriented analysis for synthetic biology design problems was the main theme discussed in my Master thesis. I also had the chance to work on pacemaker modelling and analysis during two summer internships in the VERIWARE project. I enjoy swimming, playing the blues harp and I really like opera.
I graduated in summer 2015 with a MEng in Engineering Science at Keble College, Oxford. During my final year I investigated the use of Gaussian Processes for sequential changepoint detection in financial time series. In the past year I worked for an energy consultancy as an analyst and a location management company as a publisher specialist. I am excited to return to Oxford and pursue my passion for artificial intelligence and machine learning. My hobbies include piano, guitar, sketching, gym, running and cooking.
I grew up in Milton Keynes and did my undergrad in maths at Cambridge, followed by a maths and computer science masters at Oxford. I've been working in the software industry in London since 2012, but I've decided that researching autonomous systems sounds more fun than building websites so I'm very excited to be starting on AIMS.