Applications for the 2024 academic year are officially open - and this year, there is NO application fee! Not only that, but we are excited to announce a new biomedical informatics-focused track of the GCB PhD program. Apply here by December 1st: applyweb.com/upenng/index.f…

Time sure flies when you’re having fun… Very excited to share that I will be defending my PhD this Friday! Come learn all about my research in #bioinformatics and #genomics from the past four years. Feel free to dm me for the Zoom link! UPenn GCB Penn IBI Dept. of Biostatistics, Epidemiology & Informatics

Exciting news from our lab! My brilliant graduate student, Vivek Sriram, is gearing up for his thesis defense this Friday. Join us in cheering him on as he takes this pivotal step in his academic journey! 🎓👏 #AcademicChatter #PhDDefense #FutureDoctor UPenn GCB Penn IBI

I am so, so thankful for the mentorship of Dokyoon Kim and the support of all of my family, friends, and colleagues who helped me complete this chapter of my career - on to the next!

🥳 Epic lab party this weekend! Celebrating everything we've achieved together. So grateful for this amazing crew! 🌟 Here's to more breakthroughs and fun! 🎉 #LabLife #TeamAwesome #CelebrateSuccesses 🥂 Penn IBI UPenn GCB Dept. of Biostatistics, Epidemiology & Informatics

Happy to share the official recording of my public PhD defense from last week! You can give it a listen at the following link: mediasite.med.upenn.edu/mediasite/Play…. #phd #bioinformatics #genomics #machinelearning

Once again, the Kim Lab is making waves at #ASHG23! Eagerly anticipating all the fascinating science presentations. UPenn GCB Penn IBI Dept. of Biostatistics, Epidemiology & Informatics

Erica Suh presents "Improved #Alzheimers Disease Risk Prediction and Stratification through a Combined Genetic Risk Score of Common and Rare Variants". Catch this insightful talk in the "Genetic Analysis of Neurological Disorders" session at 1:45pm on 11/3. #ASHG23 UPenn GCB

🚨 New Paper Alert! Our latest research by Erica Suh introduces an interpretable #Alzheimers Disease oligogenic risk score, enriched with neuroimaging biomarkers, that enhances risk prediction and stratification. tinyurl.com/mp9725k8 UPenn GCB Penn IBI Dept. of Biostatistics, Epidemiology & Informatics Li Shen

Excited to share our recent work: "#SingleCell Masked Autoencoder: An Accurate and Interpretable Automated Immunophenotyper" scMAE model transforms high-throughput single-cell cytometry, offering a scalable, robust, and precise immunophenotyping tool.E. John Wherry Immune Health

Very pleased to share that I’ll be joining the Fred Hutch Cancer Center data science lab as a clinical data scientist later this month! I’m so excited for the chance to have a translational impact on biomedical discovery from bench to bedside through the development of clinical NLP products.

Delighted to share our new paper, Polygenic risk score-based phenome-wide association study of head and neck cancer across two large biobanks, is out at BMC Medicine with Young Chan Lee and Dokyoon Kim. Paper: doi.org/10.1186/s12916…

New research identifies genetic associations in the human diseasome using an endophenotype-augmented disease network ft. Jakob Woerner, Vivek Sriram (UPenn GCB), Anurag Verma (Penn Medicine), Yonghyun Nam & Dokyoon Kim (Dept. of Biostatistics, Epidemiology & Informatics) Penn IBI tinyurl.com/bdebj2c8

Big shoutout to Jaesik Kim for an outstanding presentation, Single-cell Masked Autoencoder: An Accurate and Interpretable Automated Immunophenotyper, #CYTO2024! Congrats, Jaesik, Matei, and the team. E. John Wherry Allie Greenplate Immune Health Preprint: shorturl.at/CIR69

Happy to share our new paper, #DeepLearning #imaging phenotype can classify metabolic syndrome and is predictive of cardiometabolic disorders. Great work, Jacob Leiby and Eun Kyung!! Dept. of Biostatistics, Epidemiology & Informatics Penn IBI UPenn GCB shorturl.at/emstP