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Rohit Jadhav, PHD

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Dr. Rohit Jadhav brings more than 12 years of cross disciplinary experience encompassing the fields of oncology, immune aging and auto-immune diseases. He has extensive experience in algorithm development for diagnostic and prognostic  biomarker discovery dealing with diverse datasets investigating the Transcriptome, Epigenome and DNA mutations in clinical cohorts.

Dr. Jadhav earned his B.Tech. in Bioinformatics from India, a M.S. in Bioinformatics from Indiana  University, Indianapolis, a PhD in Molecular Medicine from UT Health, San Antonio as a CPRIT  pre-doctoral fellow, followed by a postdoctoral fellowship in Immunology at Stanford School of Medicine and Mayo Clinic.

Masters & PhD (2009-2016) 

Dr. Jadhav worked on identifying epigenetic biomarkers investigating alterations in DNA methylation across different cancer types including breast, ovarian, endometrial, oral and  prostate. He was awarded a Cancer Prevention and Research Institute of Texas (CPRIT) Predoctoral Fellowship, which enabled him to be involved in collaborative projects focusing on non-invasive approaches for biomarker discovery. One such project involved use of single-cell RNA sequencing to study circulating tumor cells and another involved studying DNA methylation  in cell free DNA, both from peripheral blood. As a lead bioinformatician for these studies, he implemented classification-based prediction methods to enable identification of a panel of  biomarkers to be used in determining treatment approaches for prostate cancer patients belonging to different subtypes. These studies have led to 3 approved patents from his mentor Dr. Tim Huang. During this time, Dr. Jadhav was also a lead author on the study that identified  DNA methylation biomarkers capable of identifying predisposition to breast cancer after prenatal  exposure to the compound bisphenol A and preventive effects of genistein. 

Postdoctoral Fellowship (2017-2022) 

Dr. Jadhav’s work at Stanford University and Mayo Clinic with Dr. Jorg Goronzy who is a leading expert in immune aging and auto-immunity, focused on epigenetics in the context of chromatin accessibility and specifically alterations in the immune cell types like CD4 and CD8 T cells during aging and autoimmune diseases like rheumatoid arthritis. He was also a lead author studying epigenetic alterations in exhausted T-cells post checkpoint blockade therapies in collaboration with Dr. Rafi Ahmed from Emory University. During this time Dr. Jadhav built pipelines deployed in on-prem clusters and in the cloud for analyzing and visualizing data from RNA-seq, ATAC-seq, TCR-seq, single cell multiome (RNA+ATAC), single cell Cite-seq (RNA+Protein) among others.

Dr. Jadhav has published over 30 peer-reviewed papers with over a thousand citations. 

 

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Munir Yousef, MS

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Munir Yousef joined Juvena Therapeutics as a bioinformatics analyst to contribute to Juvena’s growing platform by developing robust data analysis pipelines for their in silico protein drug discovery platform. After realizing his passion for data-driven discovery of solutions to real world problems, Munir obtained his Masters degree in Applied Data Science from Syracuse University.

Before officially joining the team, Munir worked as a data science consultant and helped develop internal data analysis and visualization tools to support Juvena’s growing R&D platforms.

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