On June 24th, 2021 at 5 PM (ET Time) INECO Foundation will hold its 13th Scientific Symposium: “Data Science in Clinical Settings“.
Computational tools are transforming mental health research. Large clinical, epidemiological and molecular databases obtained from people affected by mental disorders are being processed by data science algorithms, and begin to provide the answers that both psychiatry and people affected by mental disorders have been waiting for almost two centuries.
Analysis models, like those used by social networks to detect our tastes and interests, can be applied in the health field to detect, for example, a person’s mood or activity level. Speech can be analyzed beyond its explicit content through mathematical processing. Similarly, algorithms can recognize symptoms in patients’ faces or unravel distinctive features from brain images.
INECO Foundation has gathered a group of international experts in this field to help us understand how data science is becoming an auxiliary tool of the human sciences, aimed at facilitating processes that require analyzing large amounts of data.
Scientific Director: Dr. Marcelo Cetkovich (INECO Foundation)
Scientific Coordinator: Daniel M. Low (Harvard University & MIT)
- Thomas Insel, MD, neuroscientist and psychiatrist, led the US National Institute of Mental Health – the largest mental health organization in the world – from 2002 to 2015, was Professor of Psychiatry at Emory University, is a member of the US National Academy of Medicine, led the mental health team at Verily (formerly Google Life Sciences) and is co-founder of several digital medicine start-ups including Mindstrong Health and Humanest. Digital medicine expert.
- Emily Prud’hommeaux, PhD, Assistant Professor in the Department of Computer Science at Boston College. She was an engineer at Nuance Communications. Expert in natural language processing for neuropsychology.
- Satra Ghosh, PhD, neuroscientist and data scientist, Principal Investigator at the McGovern Institute for Brain Research at MIT, Assistant Professor in the Department of Otolaryngology at Harvard Medical School and a member of the Program in Speech and Hearing Biosciences and Technology in the Harvard Division of Medical Sciences. He directs the Senseable Intelligence Group at MIT. Expert in Machine Learning applied to neuroimaging and voice.
- Shirley Wang, psychologist and data scientist. PhD student in Clinical Psychology at Harvard University and an expert in data science applied to clinical psychology.