Dean's AI Lecture Series

Tuesday, September 1, 2026 

12 PM - 1 PM EDT

Session Recording Available Here - https://wcm.box.com/s/1khyzql9lasd8vs355h6ip151scqxaka

Panel Discussion

Tuesday, April 28, 2026 

12 PM - 1 PM EDT

Session Recording Available Here - https://wcm.box.com/s/q4fvqppr209ka2oks68hq1smpd00lmmu

 

Tuesday, February 23, 2026 

12 PM - 1 PM EDT

Session Recording Available Here - https://wcm.box.com/s/xwjs8i421vytu7uyej7lzescdtwpl4vx

Latest News

September 28, 2026

AI promises to transform food safety by helping companies identify risks earlier, predict outbreaks and learn from patterns too rare for any one company to detect alone. 

September 12, 2026

AI agents could increase, rather than reduce, the number of health care professionals working in the U.S., according to a Weill Cornell Medicine researcher.

September 15, 2026

Blog post from Ido Efrati, Programming Analyst Specialist, about building a Wiki LLM.

September 11, 2026

John Thickstun, addressed the challenges AI companies face in making societal judgments without democratic oversight.

 

September 14, 2026

Cornell has received a $750,000 grant to study AI-powered reflection tools that build student critical thinking skills.

September 9, 2026

Cornell researchers have used AI to uncover a previously unknown way cells control how proteins move inside them, communication and movement, and one that is often disrupted in cancer.

Events

Wednesday, October 21, 2026 

8:30 PM - 4 PM EDT

 

Wednesday, October 20, 2026 

2 PM - 4 PM EDT

 

Friday, October 16, 2026 

12 PM - 1 PM EDT

 

Thursday, October 8, 2026 

12 PM - 2 PM EDT

 

Tuesday-Wednesday, 

September 22-23, 2026

9 AM to 5 PM EDT

 

Thursday, September 17, 2026

9 AM to 11:45 AM EDT

Education Programs

Applies IT, data science, and human factors to improve healthcare; 12-month option plus capstone with industry partners.

 

Hands-on training in statistics, machine learning, and data science to analyze biomedical and health data; 16-month track.

Two-year dual degree focused on digital health, combining advanced CS with real-world health tech projects and a studio capstone.

 

Interdisciplinary PhD leveraging methods like single-molecule imaging and machine learning to probe biological systems.

Prepares researchers to study determinants of health and healthcare delivery using biostatistics, epidemiology, informatics, and policy.

Graduate training that integrates quantitative tools with biology to study mechanisms across scales.


 

Tri-institutional PhD across Cornell, Weill Cornell Medicine, and MSK, with broad research options and strong publication outcomes.

 

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