Engage 2020

Wed, Nov 4, 2020 (All day) to Fri, Nov 6, 2020 (All day)
Sponsor(s): 
Princeton Innovation
Office of the Dean for Research
Princeton Entrepreneurship Council
Corporate Engagement and Foundation Relations
Office of Technology Licensing

Explore the possibilities at Princeton's innovation and entrepreneurship conference.

This multi-day, virtual conference will help create new connections among Princeton innovators and leaders in entrepreneurship, industry, nonprofit organizations, and government in the state, regional and global innovation ecosystems. Engage 2020 brings together a roster of accomplished academics, inventors, and entrepreneurs from science, medicine, engineering, technology, social sciences and the arts, and external partners from government, businesses, finance, and organizations.

Our integrative conference platform will offer many opportunities to interact with our speakers and other conference attendees

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Among the Highlights for Machine Learning and Data Science Content:


Data Science in Oncology and Immunology: Drug Design and Target Identification
10:00 AM - 11:20 AM EST on Thursday, November 5
https://princetonengage2020.pathable.co/meetings/virtual/5QNJaF8p4Wr3F8nxg

This session, focusing on Drug Design and Target Identification, is part of a two-day workshop on Data Science in Oncology & Immunology hosted by Princeton University Professor of Computer Science Ben Raphael, Princeton University Professor of Physics Curtis Callen, and Vice President Hisham Hamadeh, Global Head of Data Sciences, Genmab Inc. The Workshop brings together industry and academic researchers from biomedical data science, computational oncology, and computational immunology. It will be held over two days, November 5 and 12.

Speakers include CSML’s Mona Singh


Data Science in Oncology and Immunology: Machine Learning for Revealing Biological Mechanism
11:30 AM - 12:45 PM EST on Thursday, November 5
https://princetonengage2020.pathable.co/meetings/virtual/Wb6zekjHxCjj2AGTN

This session, focusing on Machine Learning for Revealing Biological Mechanism, is part of a two-day workshop on Data Science in Oncology & Immunology hosted by Princeton University Professor of Computer Science Ben Raphael, Princeton University Professor of Physics Curtis Callen, and Vice President Hisham Hamadeh, Global Head of Data Sciences, Genmab Inc. The Workshop brings together industry and academic researchers from biomedical data science, computational oncology, and computational immunology. It will be held over two days, November 5 and 12.

Speakers include CSML’s Olga Troyanskay 


Data Science in Oncology and Immunology: Biomarkers and Immunotherapy
1:15 PM – 2:30 PM EST on Thursday, November 5
https://princetonengage2020.pathable.co/meetings/virtual/TeQpoGgpxr5jCpmmF

This session, focusing on Biomarkers and Immunotherapy, is part of a two-day workshop on Data Science in Oncology & Immunology hosted by Princeton University Professor of Computer Science Ben Raphael, Princeton University Professor of Physics Curtis Callen, and Vice President Hisham Hamadeh, Global Head of Data Sciences, Genmab Inc. The Workshop brings together industry and academic researchers from biomedical data science, computational oncology, and computational immunology. It will be held over two days, November 5 and 12.


Data Science in Oncology and Immunology: New Frontiers in Biomedical Data Science
2:40 PM - 4:00 PM EST on Thursday, November 5
https://princetonengage2020.pathable.co/meetings/virtual/epfLtzs2BYr93zmh7

This session, focusing on New Frontiers in Biomedical Data Science, is part of a two-day workshop on Data Science in Oncology & Immunology hosted by Princeton University Professor of Computer Science Ben Raphael, Princeton University Professor of Physics Curtis Callen, and Vice President Hisham Hamadeh, Global Head of Data Sciences, Genmab Inc. The Workshop brings together industry and academic researchers from biomedical data science, computational oncology, and computational immunology. It will be held over two days, November 5 and 12.

Speakers include CSML’s Barbara Engelhardt


Equitable and Inclusive AI
4:00 PM - 4:55 PM EST on Friday, November 6
https://princetonengage2020.pathable.co/meetings/virtual/jnh5dcGBZKYoq2uRK

In collaboration with AI4ALL, co-founded by Princeton professor Olga Russakovsky and Stanford professor/Princeton alumna Fei-Fei Li ‘99, this discussion will focus on how diverse perspectives, voices, and experiences can unlock AI’s potential to benefit humanity.

Speakers include CSML’s Olga Russakovsky