Events

Deep Generative Models for the analysis of Large scale multimodal single-cell data.

Location: In-Person at Countway L1-032 (Please note, New Location for this week and the New Zoom Link) Zoom, https://harvard.zoom.us/j/92093238424?pwd=eEdJSjA2WEczL1NvdnN0MysyM1JoQT09 Add to Calendar: https://drive.google.com/file/d/1E2iIsla_TzdTzS_3YLcj6gr-DHO-KP7v/view?usp=sharing   Speaker: Mariana Gabitto, PhD   Abstract: […]

CCB Seminar– To Transformers and Beyond: Large Language Models for the Genome

https://harvard.zoom.us/j/97972121786?pwd=VVpSMmRJUlY5eXIvK1VjMlFPbk1FUT09

Title: To Transformers and Beyond: Large Language Models for the Genome Speaker: Micaela Consens, Computer Science Ph.D. candidate at University of Toronto with a Focus in Machine Learning Applications for Healthcare in the Moses and Wang Lab. Abstract: In the rapidly evolving landscape of genomics, deep learning has emerged as a useful tool for tackling […]

From Harvard Lab to Global Enterprises: The Journey of Stochastic’s Personalized AI

Gordon Hall 106, Waterhouse Conference Room 25 Shattuck Street, Boston, MA, United States

Join us in-person on Monday, April 15th at 3 PM as Dr. Glenn Ko shares his experience founding a company as a Harvard academic and the technical details behind his enterprise-ready AI system, Stochastic AI.   Talk Title: From Harvard Lab to Global Enterprises: The Journey of Stochastic's Personalized AI   Speaker: Glenn Ko, PhD   […]

Principled and interpretable alignability testing and integration of single-cell data

Countway Library, L1-032

Speaker: Rong Ma, HSPH Professor When: Monday, May 13, 3:00 PM ET Topic: Principled and interpretable alignability testing and integration of single-cell data Hybrid: Countway L1-032 or Zoom Dr. Ma will be staying after for those interested in a more in-depth, post-seminar discussion of the topics reviewed. Abstract: Aligning and integrating different datasets is a key challenge in […]