Events
Life Sciences

Accelerating Drug Discovery with AI and Network Science

Join us online on Friday, March 1, 2024 at 1pm EDT for an AI + Life Sciences webinar!
SPEAKERS: 
Giulia
Menichetti
Principal Investigator and Professor, Harvard Medical School, Brigham and Women’s Hospital, Network Science Institute at Northeastern University
Samuel
Scarpino
Director of AI + Life Sciences
LOCATION:
1:00 PM
  
Mar
  
1
  
2024
  -  
  
  
Register Now

Join us online on Friday, March 1, 2024 at 1pm EDT for an exciting AI + Life Sciences webinar titled, “Accelerating Drug Discovery with AI and Network Science” with Sam Scarpino, our Director of AI + Life Sciences and guest Giulia Menichetti, Principal Investigator and Professor, Harvard Medical School, Brigham and Women’s Hospital, Network Science Institute at Northeastern University.

Sam and Giulia will discuss:

  • What network science is and how it is advancing AI applications in medicine and biology
  • What is needed to realize the potential of AI in diagnosing and treating complex diseases
  • What we should expect in AI and life sciences in 2024
  • How our Institute advances diagnostics, drug discovery, and wet-lab-in-the-loop

About our Speakers:

Sam Scarpino

Samuel V. Scarpino, PhD, is the Director of AI + Life Sciences at the Institute for Experiential AI at Northeastern University and a Professor of the Practice in Health and Computer Sciences. He holds appointments in the Institute for Experiential AI and the Network Science, Global Resilience, and Roux Institutes.

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Giulia Menichetti

Giulia is a Principal Investigator and Lecturer at Harvard Medical School. She received her Ph.D. (“Doctor Europaeus” or European Doctorate) in Physics from the University of Bologna. Her background is in network modeling of biological information, with a focus on the characterization of network and multilayer network ensembles as null models, to identify non-random patterns in real data and quantify the information content. She is currently supervising the Foodome project to which she is contributing the Foodome Knowledge Graph and research on individual eating pattern variability.

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