The Age of Predictive Medicine: Big Data for Predicting Mental Health Risk

06 November 2019, 3:30 pm–4:30 pm

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This event is free.

Event Information

Open to







Division of Psychiatry


Seminar Room, Wing A
Maple House
149 Tottenham Court Road

Speaker: Ben Reis, Harvard Medical School

Wednesday 6th November, 3.30-4.30pm

Location: Maple House 6th Floor seminar room Wing A


Dr. Ben Reis will discuss recent developments in advanced machine learning approaches to some of the grandest challenges of human health, including: suicide prediction, psychosis prediction, domestic abuse prediction, pandemic prediction and pharmacosafety. The focus of the talk will be on predicting mental health risk based on large clinical databases, and on understanding both the methodological challenges involved and the societal ramifications of generating actionable predictions in these critical areas. The talk will conclude by formulating a set of central challenges and opportunities facing the field of Predictive Medicine.  

About the Speaker

Dr. Ben Reis

Director of the Predictive Medicine Group at Harvard Medical School

Dr. Ben Reis is the Director of the Predictive Medicine Group at Harvard Medical School. His research focuses on understanding the fundamental patterns of human disease and on developing novel approaches for predicting disease. He has created systems that allow doctors to predict dangerous clinical conditions years in advance, including suicide and domestic abuse, as well as predictive pharmacology systems that allow drug safety professionals to identify life-threatening adverse drug effects years in advance. Dr. Reis has advised the US government on establishing national biodefense systems in the wake of the 9/11 attacks, the Hong Kong government on building health infrastructure in response to the SARS pandemic, the Greek government on establishing biodefense systems for the Athens Summer Olympics, and the Chinese Government in advance of the Beijing Summer Olympics. He has been honored at the White House for his work on harnessing social networks to promote health, and was named one of the top health innovators in the world by the US State Department and NASA.