[1/2] Gabrianne Ivey is a first-year CBB PhD student who earned her bachelor’s degree in Cell and Molecular Biology at Appalachian State University and her master’s degree in Mathematical Sciences at Clemson University.

Jessica Kasamoto and Weihao Zhao, @YaleCBB Ph.D. candidates, will be presenting their RIP talks this week. More details shared in the post below.

Harry Abiri and Cole Jensen, Yale CBB Ph.D. candidates, will be presenting their RIP talks on "Transformer-Based PLMs to Understand the Immune System Language" and “Inferring Naive B Cell Sequences from Clonal Lineages”.

Jess Graham and Andy Chu, Yale CBB Ph.D. candidates, will be presenting their RIP talks on "Mapping the Antigenic Landscape to Predict Immunotherapy Response in Renal Cell Carcinoma" and "Leveraging a Poisson Mixed-Effect Framework to Uncover Dynamic Single-Cell Expression QTLs".

Interested in pursuing a PhD in Computational Biology and Biomedical Informatics (CBB) at Yale?

Join us for a CBB PhD Virtual Open House
Tuesday, November 11 | 8:00–9:00 PM ET

👉 Register here: yalesurvey.ca1.qualtrics.com/jfe/form/SV_...

@yalecbb.bsky.social

Curious about PhD life at Yale’s Computational Biology & Biomedical Informatics (CBB) program? 🧬💻

Join our Virtual Open House on Nov 11, 8–9 PM ET to hear from faculty, ask questions, and explore the program!

📍 Zoom | Register here: yalesurvey.ca1.qualtrics.com/jfe/form/SV_...

Yunzhe Jiang, Yale CBB Ph.D. candidate, will be presenting his RIP talk on "Comprehensive Analysis of Pseudogene Expression in Human and Macaque Brains compared with Other Tissues".

Yuhang Chen, Yale CBB Ph.D. candidate, will be presenting her RIP talk on "Personalized Mapping of Allele-Specific Chromatin Accessibility at Single-Cell Resolution".

Interested in pursuing a PhD in Computational Biology and Biomedical Informatics (CBB) at Yale?

Join us for the CBB PhD Virtual Open House
Tuesday, October 21 | 8:00–9:00 PM ET

👉 Register here: yalesurvey.ca1.qualtrics.com/jfe/form/SV_...

@yalecbb.bsky.social

[1/3] Join Us for the CBB PhD Virtual Open House
Tuesday, October 21 | 8:00–9:00 PM ET | Zoom (link provided upon registration)

Interested in pursuing a PhD in Computational Biology and Biomedical Informatics (CBB) at Yale?

Mingze Dong and Jake Sumner, Yale CBB Ph.D. candidates, will be presenting their RIP talks on "Understanding and Enhancing Mask-Based Pretraining towards Universal Biological Representations" and "Modeling Protein Polymers at Different layers of Coarse-Graining".

We're excited to introduce our incoming CBB PhD cohort! Each month, we'll spotlight a new student who has volunteered to share a bit about themselves.This month, we're pleased to feature Emilee Grisham, a first-year CBB PhD student.

Kriti Agrawal and Andrew Jia, Yale CBB Ph.D. candidates, will be presenting their RIP talks on "Deciphering Disease Dynamics using Spatial Transcriptomics" and "Genomic predictors of recurrent pregnancy loss".

Ruiqi Li and Donglu Bai, @YaleCBB Ph.D. candidates, will be presenting their RIP talks on "Cluster-Independent Multiscale Marker Identification in Single-cell RNA-seq Data using Localized Marker Detector (LMD)" and "Joint Model of Cell-type Specific RNA and Protein Expression".

For this week's RIP talk, Wes Lewis, a CBB Ph.D. candidate, will present his research project on "Identifying Evolutionary Signatures in Popular Music".

With the start of the new academic year, Yale CBB PhD students will begin presenting at the weekly Research-in-Progress (RIP) talks and journal clubs (JC)

Michelle Yu, a CBB Ph.D. candidate, will be presenting her RIP talk on "Using graph neural network to predict effects of genetic perturbations".

Exciting news!! We are happy to announce that we will have a HIPC Symposium at @aai.org on Tues, May 6th. HIPC will also have a Super Booth at #AAI2025 along with @iedb.bsky.social
and the iAKC Project. Check out the full Symposia list, and see you there! 🔗: immunology2025.aai.org/guest-sympos...

What if LLMs could “read” & “write” biology? 🤔
Introducing C2S‑Scale—a Yale and Google collab: we scaled LLMs (up to 27B!) to analyze & generate single‑cell data 🧬 ➡️ 📝
🔗 Blog: research.google/blog/teachin...
🔗 Preprint: biorxiv.org/content/10.1...