imperial data science phd

Forgot Your Password? My research lies at the intersection of distributed systems, machine learning and data management. I was previously a postdoctoral researcher at Harvard working with Latanya Sweeney and Gary King and I received my PhD from MIT under the supervision of Alex "Sandy" Pentland (250-words bio). The Computational Privacy Group, led by Dr. Yves-Alexandre de Montjoye, at Imperial College London ’s Data Science Institute at the Department of Computing has funded openings for PhD students (from UK, EU and overseas) to work on topics related to privacy, data protection, and the impact of algorithms on society. In particular, I study storage schemes and processing models for modern hardware. Interdisciplinary in nature, it employs theories and techniques from computer science, statistics, machine learning, and mathematics to understand, analyze and potentially affect human, physical, and societal phenomena. They are the hard core, "all go to". The Data Science Institute is a cross-faculty body set up to coordinate data science research at Imperial. My research focused on the development of a new platform called the eTRIKS Analytical Environment (eAE) as an answer to the needs of analysing and exploring massive amounts of medical data in a privacy preserving fashion. Akara SupratakAkara Supratak was a PhD student at the Data Science Institute (DSI) from 2013 to 2017, supervised by Professor Yike Guo. Our PhD students work closely with industry advisors on applied research projects within these companies. Imperial College was awarded an UKRI CDT in AI for Healthcare which is currently open for applications. There is a student at Harvard right now that took 3 data science classes through the Extension School and he now has a degree in computational science and … We embrace research at the interface of machine learning, artificial intelligence and its Big Data applications. Akara Supratak was a PhD student at the Data Science Institute (DSI) from 2013 to 2017, supervised by Professor Yike Guo. Minimum entry requirements for MSc Applied Social Data Science. Statistical Machine Learning, Robotics, Control, Time-Series Analysis, Signal Processing. Campuses & maps, Latest information for current students and staff. Explore. © 407A, Huxley Building 4.08, Royal School of Mines. Neurotechnology, Biomedical Engineering, Machine Learning, Algorithmic Prediction of Human Behaviour. During his PhD, he has developed a deep learning model, named DeepSleepNet, for automatic sleep stage scoring, which can achieve state-of-the-art performance (https://github.com/akaraspt/deepsleepnet). Data science strives to develop the methods and tools to unlock the value in massive amounts of data safely and ethically. Circuits and Systems. The Department of Computing at Imperial, along with Imperial’s Data Science Institute, creates a unique environment for Data Science by bringing together world-leading computer scientists along with researchers in medicine, biology and the social sciences. Another instalment from the series “Curing Cancer with Photoshop“. Imperial College was awarded an UKRI CDT in, which is currently open for applications. Click here to discover what we've been up to and how you can get involved. modelling and optimisation in parallel queueing systems (especially split-merge and  Application of mathematical modelling techniques to real life systems. Read more. Imperial and France’s National Centre for Scientific Research (CNRS) have launched a PhD joint programme in mathematics and data. The programme provides an excellent background in biomedical research, and will integrate chemical, biological and physiological aspects in a unified approach. Big data from credit card transactions, browsing history, social networking, genetic tests or many other sources have the potential to radically transform science and industry with Harvard Business Review calling Data Scientist “the sexiest job of the 21st century”. The five-year collaboration was unveiled at the 4 th annual Times Higher Education Academic Salon and builds on almost a decade of work together. Upper second class honours (2:1) degree or equivalent in social science, data science, statistics or a quantitative field. Imperial Brand High Quality Generic Toner- Drums-Ink- Ribbons- Labels- 3D Filament - Maintenance Parts and more 1 full year warranty on all Imperial Brand Supplies He devotes to popularise Artificial Intelligence technology and establishes TensorLayer, a Deep Learning and Reinforcement Learning library for Scientists and Engineers, which won the Best Open Source Software Award at ACM Multimedia 2017. Enter your email address below. Overview. Most and least competitive courses at Imperial. An online Master’s degree in Machine Learning and Data Science from Imperial College London. WorleyParsons is an Australian engineering company that … The Data Science Institute is a cross-faculty body set up to coordinate data science research at Imperial. Competition for places at the School is high. The company was bought by RTT, which changed its name to RTT Medical. Supervised by: Yike GuoWhat is he doing now: Hao is currently an Assistant Professor at Peking University. The combination of data science and big data has been shifting the paradigm of many fields including but not limited to drug discovery, investment, and business strategy. His research focuses on Machine Learning, Biosignal Processing, and Image Processing. modelling and optimisation in parallel queueing systems (especially split-merge and. Data Privacy, Machine Learning for biometric and behavioral identification, Infrastructure for the safe and anonymous use of data, Data Science for Good. Data Science Insights - Are you dining on data? The study at DSI has given him an opportunity to learn and work with other researchers across different fields such as distributed computing and health informatics, and has broadened his knowledge and experience in doing frontier research. Axel on his time at the DSI; "I was a part-time PhD student and a research associate working on the eTRIKS and OPAL projects. Publications 23. Network. A large number of increasingly small sensors are used everywhere (from mobile phone to IoT devices) while advances in data storage, indexing, and processing platforms allow us to store and process data cheaply and efficiently: “It is now cheaper to keep data rather than to delete it”. Before coming to Edinburgh, I was a research associate at Imperial College London, where I am currently affiliated as an Honorary Research Fellow. More information on the CDT can be found. systems), modelling of storage systems, stochastic modelling of sport, stochastic modelling of healthcare systems, resource allocation and contro... © Imperial grew out of Prince Albert's vision of an area for culture, including the Royal Albert Hall, Imperial Institute, numerous museums, and the Royal Colleges that would go on to form the college. The two institutions run a joint mathematics lab – the UMI Abraham de Moivre – at South Kensington. "This dual position as a researcher and a student has proven extremely rich in experiences as I was learning and collaborating with other DSI researchers across different fields.". UNI 1st ,Edinburgh. We have partnerships with many leading financial institutions and companies with data science orientation. Imperial has a certain "Finance" flavour, while UCL is a bit more generalist but they are pretty much the same. The PhD joint programme is focused on the theme: Mathematics, Data and their applications in all areas of science. The Msc Statistics (Data Science) course provides outstanding training in both theoretical and applied statistics. This video introduces the diverse scientific disciplines at the core of the Institute and its potential impact on the modern world. I am an engineer by training and, while it was sometimes challenging, that duality made it possible to join both worlds during my PhD and facilitated my transition to the start-up world". We live in a time where information about most of our movements and actions is collected and stored in real-time thanks to technological advancements. Data Science Institute, William Penney Laboratory. Data Science Institute. With a student reach across all major departments, the Imperial College Data Science Society (ICDSS) promotes data science awareness amongst the student body. My research focuses on the security, privacy and performance of blockchain technology. His previous work in this area includes generative models, feature disentanglement, and medical data analysis. The current period of accreditation covers students who first enrol between September 2017 and September 2021. Our work aims to revolutionize applications in medicine, cyber-security, development economics, bioinformatics, behaviour analytics and many more. Faculty of Natural Sciences - Research Data Cell and Molecular Biology. I accept the privacy policy Yes Create Account He is interested in unsupervised learning and lifelong learning. William Penney LaboratorySouth Kensington CampusLondon, SW7 2AZ, South Kensington CampusLondon SW7 2AZ, UKtel: +44 (0)20 7589 5111 Imperial College London (legally Imperial College of Science, Technology and Medicine) is a public research university in London. Contact. Currently, he teaches several courses for undergraduate students such as Fundamentals of Programming and Computer Architecture. About. ). He is applying his knowledge in distributed computing and privacy to build a confidential computing platform to simplify the setup and integration of privacy-respecting applications in finance and life science. Knowledge Discovery, Data Mining and Large-Scale Data Management. Flexible PhD programme. His research relies on the intersection of deep learning, computer vision and graphics. His previous work in this area includes generative models, feature disentanglement, and medical data analysis. This new Master's program is designed to help propel your engineering or data science career forward. Data science strives to develop the methods and tools to unlock the value in massive amounts of data safely and ethically. The Centre for Doctoral Training in Computational Statistics and Data Science (Compass) is a four-year PhD training programme that addresses the pressing need, in the UK and internationally, for doctoral graduates who are able to combine fluency in both statistical and computational methods.. Distributed Systems, Systems and Data Management and the Design and Engineering of Scalable, and Reliable and Secure Large-Scale Software Systems. At this event Professor Steve Furber CBE from the University of Manchester, talked about how his new hardware architecture, SpiNNaker, is pioneering neural network research and then shared insights into how progress in his field will develop computer-based intelligence. Our one-year full-time course provides broad training to prepare you for a career in biomedical research. Axel Threlfall, editor-at-large at Reuters, chaired this event. His research relies on the intersection of deep learning, computer vision and graphics. Axel was a PhD student at the Data Science Institute (DSI) from 2014 to 2018.What is he doing now: He co-founded a start-up called Secretarium (https://secretarium.com/) and assumes the role of Chief Data Science Officer. Most PhD programmes at the University of Iceland consist of 180 ECTS. 2020 Imperial College London, Multidisciplinary networks, centres and institutes, Equality, Diversity and Culture Committee, BEng/MEng Joint Computing and Mathematics, MSc in Computing (Artificial Intelligence and Machine Learning), MSc in Computing (Management and Finance), MSc in Computing (Security and Reliability), MSc in Computing (Visual Computing and Robotics), MSc in Computing (Specialisms) regulations, MRes in Robotics and Image Guided Intervention, Undergraduate Computing: degree and course information, Undergraduate JMC: degree and course information, Postgraduate degrees and course information, Centre for Integrative Systems Biology and Bioinformatics (CISBIO), Hamlyn Centre (Medical Image Computing and Robotics), Imperial College Academic Health Science Centre. Hao is currently an Assistant Professor at Peking University. Campuses & maps, Latest information for current students and staff, The DSI are currently advertising for a PhD studentship in collaboration with the China State Shipbuilding Corporation (CSSC) and Jiangsu Automation Research Institute (JARI) to produce the next generation of Data Scientists, if you are interested you can find further information on our. The study at DSI has given him an opportunity to learn … At this event Derek Scuffell, Syngenta R&D Data Strategist, and Judith Batchelar, Director of Brand at UK supermarket chain Sainsbury's, each shared insights in how their supply chains are driven by data and how the world will be able to feed itself in the future because of data. The DSI are currently advertising for a PhD studentship in collaboration with the China State Shipbuilding Corporation (CSSC) and Jiangsu Automation Research Institute (JARI) to produce the next generation of Data Scientists, if you are interested you can find further information on our vacancy page  closing date for applicants is the 28th February 2021. Statistical ideas, tools and methods are used in almost all employment sectors, including banking and finance, government, medical research, the pharmaceutical industry and internet companies. There are two official application dates: 15 April and 15 October, but some faculties accept applications continuously (See the websites of the respective School … I received my PhD from Imperial College London in 2018 under the supervision of Paolo Costa. I'm affiliated with the Data Science Institute and Department of Computing.  systems), modelling of storage systems, stochastic modelling of sport, stochastic modelling of healthcare systems, resource allocation and contro... Data Integration, Information Systems Modelling and Distributed Databases. 19.05.2020 - Imperial is expanding its data science and innovation collaborations with Huawei to enable cutting edge discoveries for the benefit of society. We will send you instructions to reset your password. We are very pleased to provide a PhD studentship funded by WorleyParsons in the area of ‘Social and Economic Impacts of Data Science’, which starts in October 2017. Imperial acquired RTT Medical in January 2013 and renamed the business as Imperial Health Sciences (IHS). Partnering with a prestige institution like Imperial College London, with the technical understanding provided by the WorleyParsons Group, will truly give the successful candidate the ability to make an impact on how data is valued.” Applications are open now, and you can view details about the PhD here under the Data Science Institute listing. The DSI hosts a number of PhD students, funded from a variety of mechanisms including industry, research funders and self-funded. For Enterprise For Students. This also requires the integration of data (data engineering) and understanding of data (data science), as well as pathways of delivery, through decision support systems via people, robots, or wearables. Summary. My research interests lie in analytical query processing on memory-resident data. Cell and Molecular Biology. Work experience is advantageous but not required. Your personal information will only be used in accordance with the provisions of the General Data Protection Regulation and any other relevant legislation. “Machine Learning is the automatic extraction of knowledge from data.” The Master of Science in Biomedical Data Science (MSBDS) program at the Icahn School of Medicine at Mount Sinai integrates training and education in various aspects of biomedical sciences with machine learning, computer systems, and big data analysis, as well as access to large electronic medical record-linked biomedical repositories. Data science is the driving force of the new economy. The study at DSI has given him an opportunity to learn and work with other researchers across different fields such as distributed computing and health informatics, and has broadened his knowledge and experience in doing frontier research. The Data Economy Lab founded at the DSI brings together, Imperial College researchers and allied institutions, to discover how future economics will work in a Big Data context. The Health Sciences business unit of Imperial in South Africa was established in 2000 as PHD. Those collaborations have brought me new perspectives, allowed me to explore new fields and helped me grow as a researcher. The Data Science MSc has been accredited by the RSS. Akara Supratak was a PhD student at the Data Science Institute (DSI) from 2013 to 2017, supervised by Professor Yike Guo. Diana Varaden, PhD Postdoctoral Research Associate in Exposure Science at Imperial College London London, Greater London, United Kingdom 250 connections Master of Data Science (MDASC) is a taught master programme jointly offered by Department of Statistics and Actuarial Science (host) and Department of Computer Science. His research focuses on Machine Learning, Biosignal Processing, and Image Processing. Imperial College London Institute for Security Science and Technology We are very pleased to provide a PhD studentship funded under the Future Aviation Security Solutions (FASS) programme a joint initiative between Department of Transport and Home Office in the area of threat detection. Projects 2. This time, the hero is Eric Lam, breast cancer researcher and professor of molecular Oncology at Imperial College in London.Lam’s lab consists by his own count of “12-18 researchers”, Imperial had to stress that it “is made up from 15 females”. Imperial College LondonSouth Kensington CampusLondon SW7 2AZ, South Kensington CampusLondon SW7 2AZ, UKtel: +44 (0)20 7589 5111 This dual position as a researcher and a student has proven an extremely enriching experiences as I was learning and collaborating with other DSI researchers across different fields. What is he doing now: He is an instructor at the Faculty of Information and Communication Technology (ICT), Mahidol University, Thailand. He devotes to popularise Artificial Intelligence technology and establishes TensorLayer, a Deep Learning and Reinforcement Learning library for Scientists and Engineers, which won the Best Open Source Software Award at ACM Multimedia 2017. During his PhD, he has developed a deep learning model, named DeepSleepNet, for automatic sleep stage scoring, which can achieve state-of-the-art performance (https://github.com/akaraspt/deepsleepnet). During his PhD, he has developed a deep learning model, named DeepSleepNet, for automatic sleep stage scoring, which can achieve state-of-the-art performance (. ... Imperial College Business School. PhD. closing date for applicants is the 28th February 2021. (highlights). The Machine Learning Group is a the community of researchers at Imperial College’s Department of Computing focusing on Machine Learning. 🎓 Imperial College London undergraduate and postgraduate acceptance rates, statistics and applications for BA, BSc, Masters and PhD programs for years 2013 through 2019. Machine Learning is one of the contemporary answers to this question, where the idea is to learn, instead of programming intelligence. Scientific Data Management, Distributed Data Processing, Spatial Databases, Indexing. Earth Science and Engineering PhD theses Electrical and Electronic Engineering. : He is an instructor at the Faculty of Information and Communication Technology (ICT), Mahidol University, Thailand. Imperial or UCL, depending on area you want to work in the future. Currently, he teaches several courses for undergraduate students such as Fundamentals of Programming and Computer Architecture. 2020 Imperial College London, Multidisciplinary networks, centres and institutes, Professional Development and Short Courses, Imperial College-Zhejiang University Joint Applied Data Science Lab, Imperial College Academic Health Science Centre. This video introduces the diverse scientific disciplines at the core of the Institute and its potential impact on the modern world. He is interested in unsupervised learning and lifelong learning. fork-join They normally take 3 to 5 years to complete. Senior Lecturer in Data Science Institute, Professor of Applied Quantitative Analysis, Application of mathematical modelling techniques to real life systems. Data Science Insights - Building Brains: Learning from data (highlights). More information on the CDT can be found here. 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