INNOVATALK #3: Aspects of modelling COVID-19: Understanding and quantifying the uncertainty.

15 Aug 2022
INNOVATALK #3: Aspects of modelling COVID-19: Understanding and quantifying the uncertainty.

Among the VinFuture Prize’s most important missions are disseminating scientific and technological knowledge to the public, and connecting generations of young scientists, inventors, and entrepreneurs with globally established inventors for potential partnerships. To realize these missions, we have organized a series of sci-tech sharing webinars based on meaningful innovations.

In August’s webinar on AI and data science applied in diverse aspects of life, we are pleased to invite you to meet Dr. Swapnil Mishra from the University of Copenhagen with his innovation on Aspects of modelling COVID-19: Understanding and quantifying the uncertainty.

Invited by the VinFuture Prize, untold stories of understanding and quantifying the uncertainty of COVID-19 will be told by top global scientists in the field of AI and data science.

Please find below the details of the webinar:

Chair: Professor Wray Buntine – Director of Computer Science Program, College of Engineering & Computer Science, VinUniversity. Prior to his current appointment at VinUniversity, Wray Buntine was a full professor, foundation director of the Master of Data Science, and director of the Machine Learning Group at Monash University. Previously, he was conducting research projects at Helsinki Institute for Information Technology, NASA Ames Research Center, University of California, Berkeley, and Google. In the ’90s he was involved in a number of startups for both Silicon Valley and Wall Street. Professor Buntine is known for his theoretical and applied work and in probabilistic methods for document and text analysis, social networks, data mining, and machine learning. He is on several journal editorial boards and has been a senior program committee member for premier conferences such as IJCAI, UAI, AAAI, EMNLP, ICLR, ACML, and NeurIPS. He has over 200 academic publications, several software products, and two patents.

Speaker: Dr. Swapnil Mishra, University of Copenhagen. Coming from a solid background in Computer Science at Australian National University, and extensive research experience at the School of Public Health, Imperial College London, Dr. Swapnil Mishra is primarily working at the intersection of global health, machine learning, and Bayesian modelling. His research focuses on applying and developing statistical machine learning techniques for the broader and messier world of science and public policy, especially global health. He develops flexible and scalable models for understanding various spatiotemporal data, for example, epidemics (COVID-19, Malaria, HIV) and crime. Currently, he is collaborating extensively with researchers from Imperial College London, University of Oxford, Technical University of Kaiserslautern, and the University of Copenhagen in a broad area of Global Health and Machine Learning. Besides the academic and research experience, Dr. Mishra also provided industrial expertise for Bank of America as a System Engineer of Decision Science at Infosys Ltd, Bangalore.

Special Guest: Professor Yinyu Ye –K.T. Li Professor of Engineering at Institute of Computational and Mathematical Engineering, Stanford University. His recent research interests include Continuous and Discrete Optimization, Data Science and Application, Algorithm Design and Analysis, Computational Game/Market Equilibrium, Metric Distance Geometry, Dynamic Resource Allocation, Stochastic and Robust Decision Making, etc. Professor Ye is an INFORMS (The Institute for Operations Research and The Management Science) fellow since 2012 and has received several academic awards, including the inaugural 2006 Farkas Prize on Optimization, the 2009 IBM Faculty Award, the 2009 John von Neumann Theory Prize for fundamental sustained contributions to theory in Operations Research and the Management Sciences, the inaugural 2012 ISMP Tseng Lectureship Prize for outstanding contribution to continuous optimization (every three years), the winner of the 2014 SIAM Optimization Prize awarded (every three years), the 2015 SPS Signal Processing Magazine Best Paper Award, etc. According to Google Scholar, his publications have been cited 49000 times.

Location: via Zoom (the webinar link will be provided after your attendance confirmation at the registration link).

Audience: scientists, inventors, and entrepreneurs in science and technology across the world.

The language used in the webinar is English, and Vietnamese translation will be provided.

Each webinar will be followed by a Q&A session, during which you are very much encouraged to make questions directly to the Keynote Speaker and the Chair, to open potential partnerships between you and these leading innovators.

Please rewatch InnovaTalk #3 at


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