News & Events


Dealing with the limitations of our noisy world

March 1, 2024

Tamara Broderick uses statistical approaches to understand and quantify the uncertainty that can affect study results.


Tamara Broderick first set foot on MIT’s campus when she was a high school student, as a participant in the inaugural Women’s Technology Program. The monthlong summer academic experience gives young women a hands-on introduction to engineering and computer science.

What is the probability that she would return to MIT years later, this time as a faculty member?

That’s a question Broderick could probably answer quantitatively using Bayesian inference, a statistical approach to probability that tries to quantify uncertainty by continuously updating one’s assumptions as new data are obtained.

In her lab at MIT, the newly tenured...


CSB Seminar Series: Soojung Yang (Gomez- Bombarelli Lab)

February 28, 2024

Please join us for this week’s CSB seminar this Wednesday 2/28, from 4-5pm in 32-124. Soojung Yang, a third-year CSB PhD student from Prof. Rafael Gomez-Bómbarelli’s group (DMSE), will be presenting her recent work on harnessing data augmentation for efficient exploration of protein conformational space. Pizza and drinks will be provided. All faculty, researchers, and students across departments and institutes are welcome!

Time & Place: Feb 28, 4-5pm in 32-124

Talk Title: Harnessing data augmentation for efficient exploration of protein conformational space

Abstract: Exploring rare events, such as protein folding, presents a computational challenge due to high energy barriers. If we can find good collective variables (CVs) that projects the protein system to a meaningful low-dimensional space, we can add bias along the CVs to flatten out the energy barrier so that the sampling is accelerated. However, without sufficient data from transition...


CSB Thesis Defense Kayla McCue (Burge Lab)

January 11, 2024

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

Abstract: One of the key steps in eukaryotic gene expression is pre-mRNA splicing, whereby intronic sequences are excised from immature pre-mRNA transcripts, and the remaining exonic sequences are joined together. This process is catalyzed by the spliceosome, a large complex of proteins and RNAs. A variety of RNA sequence features influence this process, including the core splice site (SS) motifs and splicing regulatory elements (SREs), which recruit protein splicing factors. Together these RNA elements and factors form an intricately interconnected regulatory system which is still incompletely...


CSB Thesis Defense Samuel Goldman (Coley Lab)

January 11, 2024

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

Abstract: Small molecule metabolites mediate myriads of biological and environmental phenomena across host-microbiome interactions, plant chemistry, cancer biology, and various other processes. Mass spectrometry is often used as an analytical technique to investigate the small molecules present in a sample, measuring both their masses and fragmentation spectra. However, the complexity and high dimensionality of spectral data makes it difficult to identify unknown metabolites and their roles, with a large majority of detected...