CSB PhD Candidate: Sameed Siddiqui
Faculty Advisors: Prof. Pardis Sabeti & Prof. James Collins
Date: Friday, June 7, 2024
Time: 2:00 PM EST
Room: 68-181
Thesis title: Serology, CRISPR Diagnostics, and Machine Learning Architectures for Biological Sequences
CSB PhD Candidate: Cameron Flower
Faculty Advisor: Prof. Forest White
Date: Friday April 26, 2024
Time: 1:00 PM EST
Thesis title: Tumor cell-intrinsic signals promoting tolerance and adaptation to oncogenic kinase inhibition
Abstract:
CSB PhD Candidate: Miriam Shiffman
Faculty Advisor: Tamara Broderick & Aviv Regev
Committee members: Stefanie Jegelka, Allon Klein, Ashia Wilson
Date: Tuesday January 16, 2024
Time: 12:00 PM EST
Thesis title: Uncertainty & robustness for single-cell studies: Could dropping a few cells change the takeaways from differential expression?
CSB PhD Candidate: Samuel Goldman
Faculty Advisor: Prof. Connor Coley (Chem E)
Date: January 12th, 2024
Time: 11:00 AM - 12:00 PM Eastern Time
Location: MIT Stata Center Room 32-155
Thesis title: Machine Learning Methods for Discovering Metabolite Structures from Mass Spectra
CSB PhD Candidate: Kayla McCue
Research Advisor: Prof. Chris Burge
Date: Tuesday, December 19, 2023
Time: 9:00 -10:00 AM
Room: 68-121
Title: Interpretable Computational Modeling of pre-mRNA Splicing for Multiple Eukaryotic Species
PhD Candidate: Michael Murphy
Research Advisors: Prof. Ernest Fraenkel, Prof. Stefanie Jegelka
Date: Monday, Oct 23, 2023
Time: 11 AM-12 PM
Room: 68-180
Title: Machine Learning Methods for High Throughput Biological Data
Abstract:
Ph.D. Candidate: Mirae Parker
Lab: Prof. Gene-Wei Li
Date and Time: Thursday, October 19, 2023, 1:45-2:45 PM
Format: Hybrid
Location:68-180
Title: New Tools for Measuring and Analyzing Bacterial Gene-Expression Dynamics
Abstract:
Ph.D. Candidate: Matty Allan
Lab: Prof. Mark Bathe
Date and Time: Wednesday, August 9, 2023, 11 AM
Format: Hybrid
Location: 56-154
Title: Investigating and Reprogramming RNA Folding with Molecular Probes
Abstract:
Ph.D. Candidate: Susana Hawken
Lab: Prof. Richard Young
Date and Time: Wednesday, June 21, 2023, at 1 pm
Format: Hybrid
Location: Whitehead Auditorium
Title: Linking Biomolecular Condensates to Disease and Therapeutic Development
Abstract:
Ph.D. Candidate: Alexander Wu
Advisor: Prof. Bonnie Berger (MATH, EECS)
Title: Towards causality in gene regulatory network inference
Abstract:
Understanding the coordination of biomolecules that underlies gene regulation is key to gaining
mechanistic insights into cellular functions, phenotypes, and diseases. Advances in single-cell
technologies promise to unveil mechanisms of gene regulation at unprecedented resolution by
