Panel: Translating AI research into Clinical Practice

Nikos Paragios, Distinguished Professor of Mathematics at University of Paris-Saclay and Chief Executive & Technical Officer at TheraPanacea

Nikos Paragios is distinguished professor of Mathematics at Ecole CentraleSupelec, the school of engineering of the University of Paris-Saclay and Chief Executive Officer of TheraPanacea. Prior to that he was senior fellow at the Institut Universitaire de France, director of the Center for Visual Computing at CentraleSupelec, scientific leader at Inria (Galen Research Team), professor at the Ecole de Ponts ParisTech, and affiliated with Siemens Corporate Research as a project manager, senior research scientist and research scientist. N. Paragios was an adjunct professor at Rutgers and at New York University and a visiting professor at Yale and at University of Houston.
Nikos is a fellow of IEEE, has co-edited four books, published more than 350 papers in the most prestigious journals and conferences, and holds 35 international patents. His work has approx 30,000 citations according to Google Scholar and his H-number is 77. Nikos has supervised more than 50 PhD students, was the Editor in Chief of the Computer Vision and Image Understanding Journal (CVIU) between 2012 & 2022 and has served in editorial board of numerous prestigious international journals (IEEE T-PAMI, IJCV, IVC, MVA, JMIV, Medical Image Analysis, SIIMS…).
Nikos received an IBM faculty award in 2014, a European Research Council excellence award in 2011 & 2016, while in 2008 was the laureate of the Greece’s (nationality or descent) highest honor (world-wide) for young academics and scientists, the Bodossaki Prize. In 2006, he was named one of the top 35 world-wide innovators under the age of 35 from the MIT’s Technology Review. Nikos is member of the scientific council of Safran conglomerate since 2012.

Costis Daskalakis, Avanessians Professor of Computer Science at MIT

Constantinos (Costis) Daskalakis is the Avanessians Professor of Computer Science at MIT. He works on Algorithms, Machine Learning, Game Theory, and Statistics. He has resolved long-standing open problems about the computational complexity of Nash equilibrium, and the mathematical structure and computational complexity of auctions. His current work focuses on multi-agent learning, high-dimensional statistics, and causal inference. He has been honored with several top honors in his fields of research including the Nevanlinna Prize which is awarded, together with the Fields medal, by the International Mathematical Union for outstanding contributions to mathematical aspects of information sciences. Other prestigious honors include the ACM Doctoral Dissertation Award, the Kalai Prize from the Game Theory Society, the Simons Foundation Investigator Award, and the ACM Grace Murray Hopper Award. He is an ACM fellow, holds an honorary doctorate from the University of Patras, and was awarded the Golden Cross of the Order of the Redeemer by the Greek Presidency. He currently chairs the AI Strategic Planning committee for Greece under the Greek PM.

Alexis Kelekis, Professor at the 2nd Radiology Department of the National and Kapodistrian University of Athens

Alexis Kelekis is a Professor of Diagnostic and Interventional Radiology at the 2nd Radiology Department of the National and Kapodistrian University of Athens. He is a Fellow of the Society of Interventional Radiology (SIR) and the Cardiovascular and Interventional Radiological Society of Europe (CIRSE). He has served on the editorial board of several journals, including Spinal News and Radiographics. Alexis has been actively involved in various scientific and professional organizations, including the Scientific Program Committee of CIRSE, the Society of Interventional Oncology (SIO), and the Greek Society of Interventional Radiology (GSIR). Furthermore, he has held positions such as President of the Board for GRIBOI, served on the Program Committee for Interventional Radiology at RSNA, and held positions on the Board of Directors for SIO. Additionally, he has served as President of the National Licensing Committee for Radiation Products and is currently serving as President-Elect of SIO.

Maxime Mallet, General Partner at Jolt Capital

Maxime Mallet is General Partner at Jolt Capital, a private equity firm that specialises in growth capital technology investing across Europe. Prior to Jolt Capital, Maxime spent more than a decade as equity research analyst at Natixis and Deutsche Bank in Paris and London covering notably the semiconductor sector and as an investor within the Large Cap team of Bpifrance. Maxime graduated from both ESIEE Paris (MSc Eng) and ESCP Europe (MSc Finance).

Guy Spigelman, EMEA lead for Healthcare and Life Sciences Startups at AWS

Guy Spigelman is the EMEA lead for Healthcare and Life Sciences Startups at Amazon Web Services (AWS). In this role Guy harnesses the technology and people at AWS to work alongside the investors and founders of startups to accelerate their scientific, engineering and commercial development. Recently Guy was instrumental in launching the AION Labs Consortium, an innovation lab focused on applying AI to solve core R&D Challenges in the pharma industry. Prior to AWS, Guy was VP Portfolio Success at aMoon, Israel’s largest health-technology VC and before that he led the entrepreneurship program at the Weizmann Institute, Israel’s pre-eminent biotech research center. Guy has been part of the leadership team of several early-stage startups, including XMPie sold to Xerox and AposTherapy where Guy launched global operations in EMEA and APAC. Guy was born in Sydney and has recently relocated from Tel Aviv to Amsterdam.

Lilla Zollei, Massachusetts General Hospital, USA

Dr. Zöllei completed her PhD in Computer Science at the Massachusetts Institute of Technology, working in the Medical Imaging group of Dr. Eric Grimson.  Her doctoral work focused on the theoretical and practical aspects of image registration algorithms using information theoretic criteria.  As junior faculty, she started focusing on algorithmic problems associated with the post-processing of infant brain acquisitions in collaboration with the Boston Children’s Hospital.  Presently, she is an Associate Professor at the Department of Radiology at Harvard Medical School and Massachusetts General Hospital. Her scientific investigation focuses on pediatric MRI imaging and developing computational tools that can explore the dynamic aspect of neonatal neurodevelopment. She is interested in MRI brain image analysis during the perinatal period and in developing tools to analyze both postmortem high-resolution and in vivo images. She values and enjoys collaborating with people from various scientific backgrounds. Her research interest includes but not limited to algorithm development; brain; brainstem; cerebellum; cerebrum; consciousness; diffusion magnetic resonance imaging; spatial alignment of multi-modal inter-subject images; human brain development; automated and robust image processing; longitudinal analysis; multimodal neuroimaging; automated pattern recognition and postmortem brain tissue imaging.