RT @david_van_dijk: Introducing BrainLM 🧠🤖the first foundation model for #fMRI analysis trained on 6,700 hours of brain activity data! Fine…

Cole Jensen is a 4th-year PhD candidate in the Computational Biology and Biomedical Informatics (CBB) program. His research focuses on integrating evolutionary biology and data analytics into computational immunology, particularly B-cell phylogenetics and immune responses to disease. Cole's interest in this field began during his undergraduate studies in Public Health at Brigham Young University (BYU), where he worked as a research assistant in two labs, gaining hands-on experience in coding and statistical methods. Although his early research centered on behavioral and environmental health, it sparked his curiosity in immunology and infectious diseases. Cole was introduced to his thesis advisor, Dr. Steve Kleinstein, through colleagues, and after learning about the lab's focus on B cell phylogenetics, he recognized it as a promising opportunity for impactful research. Originally from Provo, Utah, Cole has fond memories of exploring Utah’s national parks, camping, and hiking with family and friends. Outside of research, Cole enjoys spending time with his wife and daughter as they explore the Northeast, especially at Acadia National Park and the beach during the summer. He is also passionate about fostering community among Yale graduate students as a McDougal Fellow. Feel free to connect with Cole on LinkedIn:

RT @MarkGerstein: Also thanks to @_YunyangLI, @Susannaliu99, Y Gao, X Xin, S Lou, @JensenGenetics, D Garrido, T Verplaetse, @DrGarrettAsh1,…

This week, @YaleCBB Ph.D. candidate Noah Yan Lee will present his RIP talk on "Correcting biological implausibilities in our single-cell bioinformatics pipelines (for B cells)."

Every academic year, @YaleCBB PhD students present weekly Research-in-Progress (RIP) talks and journal clubs (JC). We would like to begin highlighting the various research areas in which CBB students are engaged. This week, we have @YaleCBB Ph.D. candidates, Zhiyuan Chu and Mingze Dong presenting their RIP talks.

RT @rv_sehgal: On a personal note, this recognition reflects over a decade of work, beginning at @IIITDelhi , continuing through @elucidata…

Raghav Sehgal (@rv_sehgal ) is a 5th year PhD candidate in the Computational Biology and Biomedical Informatics (CBB) program. His thesis focuses on using AI to address the question: "Can we slow, stop, or reverse human aging?" under the mentorship of Dr. Albert Higgins-Chen. His interest in this research began after attending a talk by Dr. Morgan Levine, who presented the concept of aging as a treatable condition rather than merely a natural physiological process. Raghav earned his Bachelor of Technology degree in Electronics and Communication Engineering from Indraprastha Institute of Information Technology Delhi (IIIT-Delhi) in India. Originally from Delhi, one of his favorite memories is visiting the ancient forts and monuments on sunny winter days. Outside of his academic work, Raghav enjoys cooking Indian cuisine and experimenting with new dishes. He also loves hosting friends to share and enjoy these meals together. Feel free to connect with Raghav on LinkedIn:

RT @rv_sehgal: Thrilled to be speaking at @YaleMed on "Using AI to Translate Geroscience to the Clinic"! This talk is part of the @YBDIC_…

RT @skleinstein: Interested to learn about Yale’s #PhD program in Computational Biology and Biomedical Informatics (CBB)? Join our virtual…

RT @yalepathology: Study from @YaleSPH & @YaleMed in @ScienceMagazine on “Single-Cell Transcriptomic & Proteomic Analysis of Parkinson’s Di…

RT @rv_sehgal: 🎉 Thrilled to share that I won the Best Speaker and Best Poster awards at the @agingbiomarkers meeting at @harvardmed ! 🏆✨…

RT @skleinstein: 3rd annual @YuvalKluger vs. @skleinstein Lab Pumpkin Carving Contest. We had a lot of fun (each lab carved two pumpkins),…

RT @rv_sehgal: Day 3 of pre-prints and this is a huge one - Today it is an LLLM (large language of life) foundation model as @EricTopol cal…

RT @rv_sehgal: New day, new pre-print! And this has a rather exciting title "When to Trust Epigenetic Clocks: Avoiding False Positives in A…

RT @rv_sehgal: This week will be all about pre-prints, kicking off with my debut as a corresponding author on a paper titled, "Epigenetic a…

RT @MarkGerstein: Posting my keynote tomorrow at the @YaleMed Single-Cell Symposium, featuring lots of work by @YaleCBB students https://t.…

RT @skleinstein: Interested to learn about Yale’s #PhD program in Computational Biology and Biomedical Informatics (CBB)? Join our virtual…

Kriti Agrawal is a 4th year PhD candidate in the Computational Biology and Biomedical Informatics (CBB) program. Her research focuses on single-cell genomics to understand disease mechanisms at a cellular level, aiming to uncover how targeting specific cells could prevent or mitigate disease progression. Under the co-mentorship of Dr. Richard Flavell (Immunobiology) and Dr. Yuval Kluger (CBB), Kriti explores computational questions in immunology, a field she is passionate about due to its crucial role in disease regulation. Her interest in single-cell genomics began during her undergraduate and contiguous master’s degrees in Bioinformatics at UC San Diego, where she worked on multiple single-cell projects in Dr. Tariq Rana’s lab. Raised in Irvine, California, Kriti fondly recalls learning pottery and organizing teen events, experiences that inspired her current role as a McDougal Fellow at Yale, where she helps build a supportive community for graduate students. Outside of research, she enjoys arts and crafts, Pilates, and exploring new hobbies such as watercolor, glass painting, and knitting. Feel free to connect with Kriti on LinkedIn:

Congratulations to @biqing_zhu, PhD Candidate in the Computational Biology and Biomedical Informatics (CBB) program, on successfully defending her dissertation, “Characterizing Neurodegenerative Disorders From Multi-Omics Perspectives” under the mentorship of Dr. @HongyuZhao2!

Congratulations to @JasonJLiu , PhD Candidate in the Computational Biology and Biomedical Informatics (CBB) program, on successfully defending his dissertation, “A Multi-modal Approach to Precision Medicine: Bridging the Gap Between Genetics and Disease Using Genomics and Biosensors,” under the guidance of Dr. @MarkGerstein