About

Machine learning (ML) has revolutionized a wide array of scientific disciplines and solved problems that were unsolvable before: predicting protein structure, imaging black holes, automating drug discovery, and so on. Despite this promise, we observe the following gaps that stifle advancement:

However, little work has been done to bridge these gaps, mainly because of the missing conversations among the scientific communities. While we see many workshops focus on AI for individual scientific discipline, they all focus on method advances in a single field and are unable to answer the above important questions. Thus, this workshop is born to fulfill this unmet need. Particularly, the goal of this workshop aims to bridge each of the above gaps via:

Attendance

We welcome people with diverse background and level of experience to attend our workshop. The attendance is not contingent upon paper submission. Consider to apply for a travel award.

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Invited Talks (In alphabetical order)

Yoshua Bengio

Yoshua Bengio
MILA
AI X Discovery

Karianne Bergen

Karianne Bergen
Brown
AI X Earth Science

Connor Coley

Connor Coley
MIT
AI X Chemistry

Shirley Ho

Shirley Ho
Flatiron Institute
AI X Cosmology

Pushmeet Kohli

Pushmeet Kohli
DeepMind
AI X Science

Tie-Yan Liu

Tie-Yan Liu
Microsoft Research
AI X Science

Debora Marks

Debora Marks
Havard
AI X Biology

Tomaso Poggio

Tomaso Poggio
MIT
AI X Neuroscience

Bharath Ramsundar

Bharath Ramsundar
DeepChem
AI X Open Science

Irina Rish

Irina Rish
MILA
AI X Neuroscience

Jian Tang

Jian Tang
MILA
AI X Molecule

Petar Veličković

Petar Veličković
DeepMind
AI X Biology

Important Dates (Anywhere on Earth)

Organizers and Contact

Organizers are in the alphabetical order. For any question, please contact ai4sciencecommunity@gmail.com.