🌟 Schmidt Center office hours are back, starting on February 6! 🌟

Hosted by postdocs and graduate students whose research aims to build bridges between biomedical sciences and mathematics, statistics, and computation, the Eric and Wendy Schmidt Center office hours are a great opportunity for Broadies to engage with the expertise at the Schmidt Center in a more casual setting. 

They’re held on Thursdays at 12 p.m. in Acadia (75 Ames St., M1), with different fellows each week. Come chat and potentially spark a new collaboration. All are welcome - no prior sign-ups required!

Stop by office hours to:

• Ask questions aimed at learning more about ideas and methods in these fields. These can be hot new topics or classical ideas.
• Describe big challenges you see in biomedicine and workshop computational approaches to solve them.
• Inquire how the fellows’ methodological and theoretical work could propel your science.

Check out the Schmidt Center calendar to see which fellows are hosting and their areas of research. Schedule is subject to change.

Questions? Email Nadya Karpova at nkarpova@broadinstitute.org.

Spring 2025 Schedule

February 6:

• Maria Skoularidou: probabilistic ML, diffusion models, Bayesian inference with applications to genetics and EHR
• Tavor Baharav: reference-free inference, adaptivity, TCR analysis, statistics
• Yichen Si: statistics, population genetic/evolution models, spatial omics

February 13:

• Tavor Baharav: reference-free inference, adaptivity, TCR analysis, statistics
• Pinar Demetci: single-cell multi-omic analysis, multi-omic data integration, flow-based generative models, optimal transport, cell state transitions and trajectory inference, gene regulation

February 20:

• Tavor Baharav: reference-free inference, adaptivity, TCR analysis, statistics

February 27:

• Pinar Demetci: single-cell multi-omic analysis, multi-omic data integration, flow-based generative models, optimal transport, cell state transitions and trajectory inference, gene regulation
• Yichen Si: statistics, population genetic/evolution models, spatial omics

March 6:

• Maria Skoularidou: probabilistic ML, diffusion models, Bayesian inference with applications to genetics and EHR
• Viktoria Schuster: generative modeling, mechanistic interpretability, applications to single-cell gene expression data and protein sequences

March 13:

• Matt Levine: machine learning, dynamical systems, uncertainty quantification

March 20:

• Tara Chari: stochastic/biophysical models, statistical inference, single-cell genomics, RNA splicing

March 27:

• Matt Levine: machine learning, dynamical systems, uncertainty quantification

April 3:

• Maria Skoularidou: probabilistic ML, diffusion models, Bayesian inference with applications to genetics and EHR

April 10:

• Matt Levine: machine learning, dynamical systems, uncertainty quantification

April 17:

• Viktoria Schuster: generative modeling, mechanistic interpretability, applications to single-cell gene expression data and protein sequences

April 24:

• TBD

May 1:

• No office hours due to the Schmidt Center symposium – register and attend our symposium at MIT!

May 8:

• Maria Skoularidou: probabilistic ML, diffusion models, Bayesian inference with applications to genetics and EHR