🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

📢 Stat/Epi trainees attending #JSM2023: I am looking to hire postdoc/MS-level research associate in a few months. If interested in my team's research, consider meeting me either after my talk (session info below) or any day before. ASA ASA Section on Statistics in Genomics and Genetics

I'm looking to hire a postdoctoral fellow to work on projects in statistical genetics/genomics, causal inference and predictive modeling. Feel free to contact me by email! Job ad: forms.stat.ufl.edu/statistics-job… #postdoc Dept. of Biostatistics, Epidemiology & Informatics

Our new multi-ancestry PRS paper is now on Nature Genetics: nature.com/articles/s4158…! Thanks for the guidance from Nilanjan Chatterjee Xihong Lin . Also huge thanks to all the amazing collborators: Jianan Zhan Jin Jin Jingning Zhang and all others 1/X.

An incredible post-doc opportunity for Gates Foundation funded project to analyze multi-omics data on 20K mother-child pairs from South Asia and Africa and develop relevant methods. I will co-mentor with Ni Zhao jhubiostat. Please RT. nam02.safelinks.protection.outlook.com/?url=https%3A%…

Very excited to share our newest preprint, introducing admix-kit, a new software for analyzing admixed populations! Great collaboration with @kangchenghou Bogdan Pasaniuc, Stephanie, Joohyun, and all coauthors as part of the PRIMED Method working group PRIMED Consortium @NCIEpiTraining

We're hiring! The DBEI is seeking exceptional candidates for faculty positions in #biostatistics, #epidemiology and #informatics. Explore our available tenure + non-tenure track positions and how you can contribute to our mission to improve health for all: dbei.med.upenn.edu/recruitment

I will be presenting at #ASHG2023! Check out our poster tomorrow on Novel Methods for Estimating Risk Parameters Associated with Polygenic Scores using Case-Parent Trio Designs. Great collaborations with Nilanjan Chatterjee Debashree Ray @el_grosvenor Chris Ladd-Acosta and more!

Our paper on PROSPER, a new multi-ancestry PRS method with penalized regression is out on Nature Communications ! Check here nature.com/articles/s4146…. Thanks to everyone offering help along the way!! Nilanjan Chatterjee Haoyu Zhang Jin Jin Jianan Zhan Ruzhang Zhao Cheng Ma and PRIMED Consortium

The last of our trio of papers on alternative classes of methods for generating PGS for multi-ancestry population @PRSdivsesity using summary statistics data is out! The whole project was possible by incredible team effort and individual leaderships by Jingning Zhang

Excellent work led by Yuzheng Dun Aki Nishimura Nilanjan Chatterjee: we present PRS-Bridge, a robust and powerful method for developing PRS. We've also identified an issue with existing Bayesian methods caused by using GWAS summary data and LD reference data from separate sources and

Our new PRS paper is out! We introduce a method to create regularized ensemble PRS on GWAS sumstats. Individual-level data is no longer needed for sophisticated ensemble learning Zijie Zhao Stephen Dorn Paper📰:biorxiv.org/content/10.110… Software🧑‍💻:github.com/qlu-lab/PUMAS