Rohit Jadhav, Ph.D. Email & Phone Number

Redwood City, California, United States

Redwood City, California, United States

Rochester, Minnesota, United States

Developing pipelines and algorithms to analyze multi-omic NGS data from bulk and single cells to study aging and auto immune diseases. This involves integrating data across multiple modalities to identify unique cell signatures. I build visualization applications to enable access and interpretation of the datasets for investigators. These applications are deployed on Google Cloud Platform and are developed using micro-service architecture with CI/CD to optimize for cost and efficiency.I… Show more Developing pipelines and algorithms to analyze multi-omic NGS data from bulk and single cells to study aging and auto immune diseases. This involves integrating data across multiple modalities to identify unique cell signatures. I build visualization applications to enable access and interpretation of the datasets for investigators. These applications are deployed on Google Cloud Platform and are developed using micro-service architecture with CI/CD to optimize for cost and efficiency.I manage bioinformatic data and resources in the laboratory. Along with that, I advise and work with cross-disciplinary teams to support bioinformatic analysis across various projects.NGS: Single-cell Cite-seq (Protein + RNA), Single-cell multiome (ATAC + RNA), ATAC-seq, ChIP-seq, MBDcap-seq, RNA-seq, TCR-seqTech: Google Cloud Platform (Cloud Run, BigQuery, Cloud Build, CI/CD), HPC, Docker, R Show less

San Francisco Bay Area

Epigenetics research in the context of chromatin accessibility and specifically alterations in subsets of the immune cell types like CD4 and CD8 T cells during aging and in autoimmune diseases. This work provided novel epigenetic signatures along with specific mechanisms responsible for the altered responses in these T cell subsets during aging, disease and immune exhaustion.NGS: ATAC-seq, RNA-seq, TCR-seqTech: High-performance computing, Docker, Singularity, R, Nextflow.

San Antonio, Texas Area

Development of machine learning approaches to investigate large scale sequencing data. This includes implementing the algorithms as stand alone tools that can be used to train large patient cohorts followed by identification of differential patterns within these data sets.

San Antonio, Texas Area

Analysis of DNA methylation patterns within and across different cancer types. To this end, I worked on three main projects.1. Identifying cancer-type-specific DNA methylomes using computational and experimental approaches: In this work I developed a tool which implements a machine learning hidden markov model algorithm to identify differentially enriched regions within and across different cancer types.2. Investigating DNA methylation alterations at large gene-clusters in breast… Show more Analysis of DNA methylation patterns within and across different cancer types. To this end, I worked on three main projects.1. Identifying cancer-type-specific DNA methylomes using computational and experimental approaches: In this work I developed a tool which implements a machine learning hidden markov model algorithm to identify differentially enriched regions within and across different cancer types.2. Investigating DNA methylation alterations at large gene-clusters in breast cancer patients: In this work I identified thousands of differentially methylated loci in breast cancer patients, determined 7 large gene-clusters to be hypermethylated. Revealed one of the clusters showed ERα dependent repression using siRNA knock-down followed by proliferation and invasion assays.3. Analyzing epigenetic alterations resulting from environmental exposure of BPA and Genistein: Investigated the epigenetic effects of these hormonally active compounds after prepubertal exposure on rats. I identified biomarkers that characterize the early changes of these exposures and also categorize the carcinogenic effects of BPA and preventive effects of Genistein.4. My other collaborative studies include development of classification and prediction models for single-cell analysis using RNA-sequencing data, identification of biomarker panels to determine treatment approaches in prostate cancer patient subtypes. Show less

Indianapolis, Indiana Area

Epigenetic analysis of Ovarian Cancer initiating cells• Analyzing the differences in DNA methylation, gene expression and miRNA patterns in Ovarian Tumor cells, Ovarian Cancer initiating cells and normal cells.• Integrating the information from above experiments to identify biomarkers.• Validating the identified biomarkers with the publicly available data.

Indianapolis, Indiana Area

Various courses in Bioinformatics some of them were: Biostatistics, Translational Bioinformatics, Biological database management, Informatics Research Design, Algorithms for Bioinformatics, Machine Learning. Also worked on Thesis in Epigenetic analysis of Ovarian Cancer initiating cells.

Development of an Administrator interface for IU faculty to manage the podcasting of their lectures. This included providing specific permissions for the faculty and students for accessing the podcasts. For this project, as all the podcasts were managed in a file system on the server, we developed all the functionality using Perl CGI and JavaScript.Another project was on developing a URL shortening service specifically for Indiana University users. This is mainly the site where a user is… Show more Development of an Administrator interface for IU faculty to manage the podcasting of their lectures. This included providing specific permissions for the faculty and students for accessing the podcasts. For this project, as all the podcasts were managed in a file system on the server, we developed all the functionality using Perl CGI and JavaScript.Another project was on developing a URL shortening service specifically for Indiana University users. This is mainly the site where a user is required to provide a URL which can either be encoded by the system and returned to the user, or provide an encoded URL which will be decoded by the system and returned to the user. This project had Microsoft SQL Server database backend and the functionality for the encoding and decoding the URL and the website front end was developed using C#.Net.Link: http://go.iu.edu/Welcome.aspx Show less

Title: Sequence, Structure and Phylogenetic Analysis of the GH Family 10 and 11 Xylanases from Fungi.

Doctor Of Philosophy (Ph.D.), Molecular Medicine, Bioinformatics

Master Of Science (M.S.), Bioinformatics

Bachelor Of Technology (B.Tech.), Bioinformatics

Higher Secondary School Certificate, Science