Co-hosted by MIT CSAIL and STEMM Global

1-2 October 2020

STEMM MIT CSAIL AI in Healthcare Summit

Scientists, AI researchers, healthcare experts and business leaders will come together to discuss critical healthcare challenges, collaborate to minimize the damages, and find preventive measures. It is crucial now to drive the innovation and development of AI for good.

Covering the most relevant topics of AI in healthcare – including the ways in which AI is being used during the current pandemic – the STEMM MIT CSAIL AI in Healthcare Summit will be held online and is co-hosted by MIT’s Computer Science & Artificial Intelligence Laboratory and STEMM Global Scientific Community.

Business and Academia for Innovations in Healthcare

Meet World-Class
AI Experts

STEMM MIT CSAIL AI in Healthcare Summit unites researchers and business leaders, working together to address public health problems and improving healthcare outcomes with AI, to share their vision and experience for better global collaboration.

Get to know all speakers
Director of MIT Computer Science & Artificial Intelligence Lab

Daniela Rus

Daniela Rus is the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science and Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. Rus’s research interests are in robotics, mobile computing, and data science. Rus is a Class of 2002 MacArthur Fellow, a fellow of ACM, AAAI and IEEE, and a member of the National Academy of Engineering, and the American Academy for Arts and Science. She earned her PhD in Computer Science from Cornell University.
Director of the UCL Center for Artificial Intelligence

David Barber

David Barber received a BA in Mathematics from Cambridge University and subsequently a PhD in Theoretical Physics (Statistical Mechanics) from Edinburgh University. He is Director of the UCL Centre for Artificial Intelligence, which aims to develop next generation AI techniques. He has broad research interests related to the application of probabilistic modelling and reasoning. David is also a Fellow of the Alan Turing Institute and the CSO of re:infer, an AI spin-out from UCL.
Head of the Pattern Recognition Lab, FAU

Andreas Maier

Prof. Dr. Andreas Maier was born on 26th of November 1980 in Erlangen. He studied Computer Science, graduated in 2005, and received his PhD in 2009. From 2005 to 2009 he was working at the Pattern Recognition Lab at the Computer Science Department of the University of Erlangen-Nuremberg. His major research subject was medical signal processing in speech data. In this period, he developed the first online speech intelligibility assessment tool – PEAKS – that has been used to analyze over 4.000 patient and control subjects so far.
From 2009 to 2010, he started working on flat-panel C-arm CT as post-doctoral fellow at the Radiological Sciences Laboratory in the Department of Radiology at the Stanford University. From 2011 to 2012 he joined Siemens Healthcare as innovation project manager and was responsible for reconstruction topics in the Angiography and X-ray business unit.
In 2012, he returned the University of Erlangen-Nuremberg as head of the Medical Reconstruction Group at the Pattern Recognition lab. In 2015 he became professor and head of the Pattern Recognition Lab. Since 2016, he is member of the steering committee of the European Time Machine Consortium. In 2018, he was awarded an ERC Synergy Grant “4D nanoscope”. Current research interests focuses on medical imaging, image and audio processing, digital humanities, and interpretable machine learning and the use of known operators.
Scientific Director of the Italian Institute of Technology

Giorgio Metta

Giorgio Metta is the Scientific Director of the Istituto Italiano di Tecnologia (IIT). He holds a MSc cum laude (1994) and PhD (2000) in electronic engineering both from the University of Genoa. From 2001 to 2002, Giorgio was postdoctoral associate at the MIT AI-Lab. He was previously with the University of Genoa and from 2012 to 2019 Professor of Cognitive Robotics at the University of Plymouth (UK). He was member of the board of directors of euRobotics aisbl, the European reference organization for robotics research. Giorgio Metta served as Vice Scientific Director of IIT from 2016 to 2019. He coordinated IIT's participation into two of the Ministry of Economic Development Competence Centers for Industry 4.0 (ARTES4.0, START4.0). He was one of the three Italian representatives at the 2018 G7 forum on Artificial Intelligence and, more recently, one of the authors of the Italian Strategic Agenda on AI. Giorgio coordinated the development of the iCub robot for more than a decade making it de facto the reference platform for research in embodied AI. Currently, there are more than 40 robots reaching laboratories as far as Japan, China, Singapore, Germany, Spain, UK and the United States. Giorgio Metta research activities are in the fields of biologically motivated and humanoid robotics and, in particular, in developing humanoid robots that can adapt and learn from experience. Giorgio Metta is author of more than 300 scientific publications. He has been working as principal investigator and research scientist in about a dozen international research as well as industrial projects.
Director of the Language Intelligence and Information Retrieval Lab, KU Leuven

Marie-Francine Moens

Marie-Francine Moens is a full professor in the Department of Computer Science at KU Leuven. She leads a research team specialized in natural language processing and information retrieval (, currently composed of 18 PhD students and 3 postdocs. Her main direction of research is the development of novel methods for automated content recognition in text and multimedia using statistical and neural machine learning. She is author or co-author of more than 350 peer-reviewed publications many of which published in major natural language processing, machine learning, artificial intelligence and information retrieval venues such as AAAI, ACL, EMNLP, ICML, JAIR, ML, SIGIR , TACL and WSDM. She is holder of the European Research Council (ERC) Advanced Grant CALCULUS (Commonsense and Anticipation enriched Learning of Continuous representations sUpporting Language UnderStanding, 2018 – 2023, Horizon 2020 - 788506). She is currently associate editor of the journal IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). In 2011 and 2012 she was appointed as chair of the European Chapter of the Association for Computational Linguistics (EACL).
John Humphrey Plummer Professor Cambridge University

Mihaela Van der Schaar

Professor van der Schaar is John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge and a Turing Fellow at The Alan Turing Institute in London, where she leads the effort on data science and machine learning for personalised medicine. She is an IEEE Fellow (2009). She has received the Oon Prize on Preventative Medicine from the University of Cambridge (2018). She has also been the recipient of an NSF Career Award, 3 IBM Faculty Awards, the IBM Exploratory Stream Analytics Innovation Award, the Philips Make a Difference Award and several best paper awards, including the IEEE Darlington Award. She holds 35 granted USA patents.

The current emphasis of her research is on machine learning with applications to medicine, finance and education. She has also worked on data science, network science, game theory, signal processing, communications, and multimedia. Prior to her academic career, she was a Senior Researcher at Philips Research in the Netherlands and USA.

AI in Healthcare Summit
Programme Highlights

STEMM MIT CSAIL AI in Healthcare is a highly curated programme, covering the most relevant topics of AI in healthcare, including the ways in which AI is being used during the current pandemic.

Points of discussion will include AI and ML enabled Robotics, Diagnostics and Treatments, Data Gathering and Management, Pharmaceuticals, Ethics, and Clinical Research Developments to help face the Challenges of Current and Future Healthcare Systems.









Apply to Participate

The Summit program includes:

  • Keynote Speeches from Top AI Experts
  • Panel Discussions and Roundtables with Leaders from Academia and Industry
  • Poster Sessions (>1000 Presentations)
  • Research Oral Talks
  • Researchers Elevator Pitch
  • Online Expo
  • Curated Networking Platform


External Academia