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Ayush Raman Email & Phone Number

Computational Biologist at National Cancer Institute (NCI)
Location: Bethesda, Maryland, United States 11 work roles 7 schools
1 work email found @broadinstitute.org LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

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Current company
National Cancer Institute (NCI)
Role
Computational Biologist
Location
Bethesda, Maryland, United States
Company size
5374 employees

Who is Ayush Raman? Overview

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Quick answer

Ayush Raman is listed as Computational Biologist at National Cancer Institute (NCI), a with 5374 employees, based in Bethesda, Maryland, United States. AeroLeads shows a work email signal at broadinstitute.org and a matched LinkedIn profile for Ayush Raman.

Ayush Raman previously worked as Staff Scientist at National Cancer Institute (Nci) and Postdoctoral Research Fellow at Dana-Farber Cancer Institute. Ayush Raman holds Postdoc Fellow, Computational Epigenomics (Massachusetts General Hospital And Dfci), Computational Epigenomics from Harvard University.

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Email format at National Cancer Institute (NCI)

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{first_initial}{last}@broadinstitute.org
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Profile bio

About Ayush Raman

I am a Computational Staff Scientist at CCR, NCI, NIH. I am interested in understanding the dynamics of gene regulation using single-cell genomics. I develop tools/approaches for data analysis and apply machine learning algorithms to understand biology.CV/Resume:Resume: https://araman.rbind.io/media/Resume_AR_Mar23.pdfAcademic CV: https://araman.rbind.io/media/CV_AR_Mar23.pdfScholar: https://scholar.google.com/citations?user=IaLzKOIAAAAJSkill set summary:• Languages: R (tidyverse & Bioconductor), Perl, Python, Bash, LATEX, SQL• Next Gen Data Analysis: Bulk ATAC-/ChIP-/RNA-seq, single-cell ATAC-/RNA-seq, Long-read seq (1+ year), NanoString nCounter, Microarray, Detection & correction of Batch Effects• Machine Learning Algorithms: Clustering (k -means, hierarchical clustering, NMF, semi-NMF), Dimensionality reduction methods (PCA, ICA, t-SNE, UMAP, MDS), Classification Algorithms (Naive Bayes, Linear Discriminant Analysis, Decision Trees, Random Forest, SVM,Logistic Regression), Regression (Linear, GLM), Regularization (LASSO, Ridge, Elastic-net)• High Performance Computing: Load Sharing Facility (LSF), Condor• Cloud Computing: Google Cloud Computing, Terra• Pipeline Development Tools: Version control (Git), Workflow manager (Snakemake, WDL)• Soft skills: Communication, collaboration, honesty, adaptability, creativity, conflict management, punctuality, critical thinking and goal settingAwards:* Junior Research Parasite award '20 (https://researchparasite.com/ & https://en.wikipedia.org/wiki/Research_Parasite_Award)* Young Scientist Excellence Award '20, MCBIOS

Listed skills include Bioinformatics, Computational Biology, Genomics, Molecular Biology, and 26 others.

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Ayush Raman's current company

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National Cancer Institute (NCI)
National Cancer Institute (Nci)
Computational Biologist
Bethesda, MD, US
Website
cancer.gov
Employees
5374
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11 roles

Ayush Raman work experience

A career timeline built from the work history available for this profile.

Statistical Epigenomics Postdoc Associate

Broad Institute Of Mit And Harvard

Cambridge, Ma, Us

Postdoc with Prof. Martin Aryee, Prof. Alex Meissner and Dr. Andreas Gnirke groups

Dec 2018 - Apr 2024

Graduate Student

Baylor College Of Medicine

Houston, Texas, Us

I completed my Ph.D. under the mentorship of Dr. Zhandong Liu's lab at NRI, Baylor College of Medicine (March '14-Present) and Dr. Kunal Rai's lab at MD Anderson Cancer Center. I collaborated with Dr. Huda Zhogbi's lab at NRI, BCM where I particularly worked in the area of Rett syndrome and transcriptome of MeCP2. Themes of my Ph.D. Thesis:1. Reproducibility (Batch Detection Algorithm -- https://doi.org/10.1093/bioinformatics/btx635, Bias toward long gene misregulation -- https://www.nature.com/articles/s41467-018-05627-1)2. Epigenome Landscape in Tumors (https://gut.bmj.com/content/early/2021/05/30/gutjnl-2020-322835)3. Large-scale data analysis (10.1016/j.stemcr.2017.10.031; https://www.nature.com/articles/s41467-018-05627-1)Teaching & Mentoring Experience1. Teaching Assistant for Bioinformatics Workshop, MD Anderson Cancer Center (Dec. 2017)2. Teaching Assistant for Computational Math for Quantitative Biomedicine, BCM (Fall 2017)

Sep 2013 - Sep 2018

Bioinformatics Scientist, Shmulevich Lab

Institute For Systems Biology

Seattle, Washington, Us

Collaborated with Alan Aderem's Lab at Seattle Bio-med Research Institute. 1. ChIP-Seq Data Analysis (Pol II, HAc, HDAc, Me-DIP)2. Enrichment of Transcription Factors and Gene Ontology3. DNA Methylation Data Analysis4. Gene Expression Data Analysis5. RNA-Seq Analysis

Jul 2010 - Jul 2013

Statistician, Devlin And Roeder Lab

Upmc

Pittsburgh, Pa, Us

A primary goal of my research group is to develop statistical tools for finding associations between patterns of genetic variation and complex disease. Our methodological work is motivated by our studies of schizophrenia, autism and other genetic disorders. We are also interested in the population genetics of human gene diversity and linkage disequilibrium. 1. Did GWAS studies through Haplotype Datasets2. Distributed Computing3. Identity by Descent and Homozygosity by Descent Analysis

Nov 2009 - Jul 2010

Software Programmer (Staff--Ra)

School Of Medicine, University Of Pittsburgh

Pittsburgh, Pa, Us

Worked on prediction of Protein Protein Interaction in Humans. Studied the change of protein interaction among normal vs diseased humans using the gene expression studies available on GEO and SMD. Applied Machine Learning Techniques to see the efficiency of different algorithms on prediction of protein protein interactions in Humans.

Apr 2009 - Oct 2009

Research Assistant, Schwartz Lab

Carnegie Mellon University

Pittsburgh, Pa, Us

Worked on discrete event self-assembly simulation software, a package for fast simulation of self-assembly systems.

May 2008 - Dec 2008

Research Assistant, Murphy Lab

Carnegie Mellon University

Pittsburgh, Pa, Us

Development of Database using PostgreSQL and JSP as back-end and front-end respectively in Bob Murphy's Lab.

Sep 2007 - Jan 2008

Research Associate, Labs Of S. Ramachandran & Vani Brahmachari

Institute For Genomics And Integrative Biology

Delhi, Delhi, In

It was a part of my 6 month offsite undergraduate project work. Analyzed and studied Comparative Genomics of M. tuberculosis H37Rv with Homo sapiens using different bioinformatics tools for sequence and structural based analysis. I worked in the lab of Dr. S. Ramachandran and Dr. Vani Brahmachari.

Dec 2005 - Sep 2006
Team & coworkers

Colleagues at National Cancer Institute (NCI)

Other employees you can reach at cancer.gov. View company contacts for 5374 employees →

RG Rachel Grana Rachel Grana Colleague at National Cancer Institute (Nci)Rockville, Maryland, United States View → GW Gretchen White Gretchen White Colleague at National Cancer Institute (Nci)Frederick, Maryland, United States View → SC Stephanie Chidester, Phd, Rn Stephanie Chidester, Phd, Rn Colleague at National Cancer Institute (Nci)Bethesda, Maryland, United States View → SY Sanam Yaghoubi Sanam Yaghoubi Colleague at National Cancer Institute (Nci)Bethesda, Maryland, United States View → K( Kunst (Nih/Nci) (E-M Tricia Kunst (Nih/Nci) (E-M Tricia Colleague at National Cancer Institute (Nci)Davidsonville, Maryland, United States View → AS Andrew Song Andrew Song Colleague at National Cancer Institute (Nci)Yorba Linda, California, United States View → GW Glenice Webster Glenice Webster Colleague at National Cancer Institute (Nci)Hyattsville, Maryland, United States View → DB Denise Buckley Denise Buckley Colleague at National Cancer Institute (Nci)Rockville, Maryland, United States View → YC Yuhong Chen Yuhong Chen Colleague at National Cancer Institute (Nci)Frederick, Maryland, United States View → HC Hayes Charles Hayes Charles Colleague at National Cancer Institute (Nci)Washington, District Of Columbia, United States View →
7 education records

Ayush Raman education

Postdoc Fellow, Computational Epigenomics (Massachusetts General Hospital And Dfci), Computational Epigenomics

Harvard University

Postdoc Associate, Computational Epigenomics

Broad Institute Of Mit And Harvard

Doctor Of Philosophy (Phd), Computational Biology

Baylor College Of Medicine

M.S., Computational Biology

Carnegie Mellon University

Bachelor'S In Technology(Engineering), Bioinformatics

Vellore Institute Of Technology

Bsc, Chemistry Hons

Hindu College, University Of Delhi

Primary-Middle-High School, Physics, Chemistry, Mathematics And Computer Sc. (High School)

Delhi Public School Noida
FAQ

Frequently asked questions about Ayush Raman

Quick answers generated from the profile data available on this page.

What company does Ayush Raman work for?

Ayush Raman works for National Cancer Institute (NCI).

What is Ayush Raman's role at National Cancer Institute (NCI)?

Ayush Raman is listed as Computational Biologist at National Cancer Institute (NCI).

What is Ayush Raman's email address?

AeroLeads has found 1 work email signal at @broadinstitute.org for Ayush Raman at National Cancer Institute (NCI).

Where is Ayush Raman based?

Ayush Raman is based in Bethesda, Maryland, United States while working with National Cancer Institute (NCI).

What companies has Ayush Raman worked for?

Ayush Raman has worked for National Cancer Institute (Nci), Dana-Farber Cancer Institute, Broad Institute Of Mit And Harvard, Baylor College Of Medicine, and Institute For Systems Biology.

Who are Ayush Raman's colleagues at National Cancer Institute (NCI)?

Ayush Raman's colleagues at National Cancer Institute (NCI) include Rachel Grana, Gretchen White, Stephanie Chidester, Phd, Rn, Sanam Yaghoubi, and Kunst (Nih/Nci) (E-M Tricia.

How can I contact Ayush Raman?

You can use AeroLeads to view verified contact signals for Ayush Raman at National Cancer Institute (NCI), including work email, phone, and LinkedIn data when available.

What schools did Ayush Raman attend?

Ayush Raman holds Postdoc Fellow, Computational Epigenomics (Massachusetts General Hospital And Dfci), Computational Epigenomics from Harvard University.

What skills is Ayush Raman known for?

Ayush Raman is listed with skills including Bioinformatics, Computational Biology, Genomics, Molecular Biology, Data Analysis, Machine Learning, Perl, and Data Mining.

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