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My favorite study from this past year. What a good way to end our MD PhD time together Yale School of Medicine. We challenge the idea that mutations in IFN pathways are always a protective feature of tumors against immunotherapy. Lots to more to learn and to model for the future.

So grateful and overjoyed that Ryan Chow and I will be continuing our physician-scientist training at Penn Medicine! Thank you so much to all our mentors at Yale School of Medicine Yale MDPhD Program Yale Department of Immunobiology Yale Department of Genetics Yale Dermatology Yale Cancer Center for their support! #Match2023

An analysis of CRISPR screening data from our lab and others, and analyses of ICB-treated patient cohorts, shows that mutations in IFN signaling genes generally do not cause resistance to ICB. This agrees with work from Andy Minn and our group: nature.com/articles/s4159…

Mutations in IFN-γ signaling genes sensitize tumors to immune checkpoint blockade dlvr.it/SmVX38

Excited to see some of my thesis work finally published in PLOS Biology!Wouldn’t have been possible without Craig Wilen Jin Wei Mia Madel Alfajaro Kadoch Lab Ajinkya Patil Scott Biering Patrick Hsu Silvana Konermann Qin Yan, PhD @JohnDoench Ryan Chow Wesley Cai, PhD & more.

Our work at Nature Immunology on a new way of cell therapy engineering. Proud of 1st author Ariel & team. Special Tx to Dr. Levchenko. Yale University Yale Department of Genetics Yale Cancer Center Yale West Campus Yale Center for Biomedical Data Science (CBDS) Yale School of Medicine nature.com/articles/s4159…

Excited to share our group's first manuscript describing new anatomical connections that allow the eyes to act as an "immunological window to the brain" 👁️🧠 (1/) nature.com/articles/s4158…

That eric hoyeon song could pull this off *WHILE IN RESIDENCY* is absolutely bonkers to me. 10/10 would let him inject AAVs into my eyes any day

Real-world evaluation of deep learning algorithms to classify functional pathogenic germline variants medrxiv.org/cgi/content/sh… #medRxiv

Phenotypic Evaluation of Deep Learning Models for Classifying Germline Variant Pathogenicity npj Journals • This study evaluates the real-world utility of three state-of-the-art deep learning models—AlphaMissense, EVE, and ESM1b—in classifying germline variants associated with

New npj Journals paper by Ryan Chow co-mentored w/ Katherine Nathanson BasserBRCA on reliability of #deeplearning to predict variant pathogenicity. #AI recapitulate ClinVar classifications for pathogenic variants, but poorly predict pathogenicity for VUS's #breastcancer

Multiplexed inhibition of immunosuppressive genes with Cas13d for combinatorial cancer immunotherapy go.nature.com/4gYcS4Z