Ayush Raman

Ayush Raman Email and Phone Number

Computational Biologist @ National Cancer Institute (NCI)
Bethesda, MD, US
Ayush Raman's Location
Bethesda, Maryland, United States, United States
Ayush Raman's Contact Details
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

Ayush Raman's Current Company Details
National Cancer Institute (NCI)

National Cancer Institute (Nci)

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Computational Biologist
Bethesda, MD, US
Website:
cancer.gov
Employees:
5374
Ayush Raman Work Experience Details
  • National Cancer Institute (Nci)
    National Cancer Institute (Nci)
    Bethesda, Md, Us
  • National Cancer Institute (Nci)
    Staff Scientist
    National Cancer Institute (Nci) Apr 2024 - Present
    Bethesda, Md, Us
  • Dana-Farber Cancer Institute
    Postdoctoral Research Fellow
    Dana-Farber Cancer Institute Jan 2022 - Apr 2024
    Boston, Ma, Us
    Aryee Lab, Data Science Dept, DFCI
  • Broad Institute Of Mit And Harvard
    Statistical Epigenomics Postdoc Associate
    Broad Institute Of Mit And Harvard Dec 2018 - Apr 2024
    Cambridge, Ma, Us
    Postdoc with Prof. Martin Aryee, Prof. Alex Meissner and Dr. Andreas Gnirke groups
  • Baylor College Of Medicine
    Graduate Student
    Baylor College Of Medicine Sep 2013 - Sep 2018
    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)
  • Institute For Systems Biology
    Bioinformatics Scientist, Shmulevich Lab
    Institute For Systems Biology Jul 2010 - Jul 2013
    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
  • Upmc
    Statistician, Devlin And Roeder Lab
    Upmc Nov 2009 - Jul 2010
    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
  • School Of Medicine, University Of Pittsburgh
    Software Programmer (Staff--Ra)
    School Of Medicine, University Of Pittsburgh Apr 2009 - Oct 2009
    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.
  • Carnegie Mellon University
    Research Assistant, Schwartz Lab
    Carnegie Mellon University May 2008 - Dec 2008
    Pittsburgh, Pa, Us
    Worked on discrete event self-assembly simulation software, a package for fast simulation of self-assembly systems.
  • Carnegie Mellon University
    Research Assistant, Murphy Lab
    Carnegie Mellon University Sep 2007 - Jan 2008
    Pittsburgh, Pa, Us
    Development of Database using PostgreSQL and JSP as back-end and front-end respectively in Bob Murphy's Lab.
  • Institute For Genomics And Integrative Biology
    Research Associate, Labs Of S. Ramachandran & Vani Brahmachari
    Institute For Genomics And Integrative Biology Dec 2005 - Sep 2006
    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.

Ayush Raman Skills

Bioinformatics Computational Biology Genomics Molecular Biology Data Analysis Machine Learning Perl Data Mining Systems Biology Matlab Genetics R Comparative Genomics Algorithms Microarray Sequence Analysis Microarray Analysis Nextgen Genotyping Sequencing Chip Seq Dna Sequencing Rnaseq Chip Seq Analysis High Throughput Data Analysis Bioconductor Gene Expression Profiling Functional Genomics Data Analysis Of Genotype/haplotype Datasets Rna Seq Analysis

Ayush Raman Education Details

  • Harvard University
    Harvard University
    Computational Epigenomics
  • Broad Institute Of Mit And Harvard
    Broad Institute Of Mit And Harvard
    Computational Epigenomics
  • Baylor College Of Medicine
    Baylor College Of Medicine
    Computational Biology
  • Carnegie Mellon University
    Carnegie Mellon University
    Computational Biology
  • Vellore Institute Of Technology
    Vellore Institute Of Technology
    Bioinformatics
  • Hindu College, University Of Delhi
    Hindu College, University Of Delhi
    Chemistry Hons
  • Delhi Public School Noida
    Delhi Public School Noida
    Mathematics And Computer Sc. (High School)

Frequently Asked Questions about Ayush Raman

What company does Ayush Raman work for?

Ayush Raman works for National Cancer Institute (Nci)

What is Ayush Raman's role at the current company?

Ayush Raman's current role is Computational Biologist.

What is Ayush Raman's email address?

Ayush Raman's email address is ay****@****hoo.com

What schools did Ayush Raman attend?

Ayush Raman attended Harvard University, Broad Institute Of Mit And Harvard, Baylor College Of Medicine, Carnegie Mellon University, Vellore Institute Of Technology, Hindu College, University Of Delhi, Delhi Public School Noida.

What skills is Ayush Raman known for?

Ayush Raman has skills like Bioinformatics, Computational Biology, Genomics, Molecular Biology, Data Analysis, Machine Learning, Perl, Data Mining, Systems Biology, Matlab, Genetics, R.

Who are Ayush Raman's colleagues?

Ayush Raman's colleagues are Do Nga, Mailyn Smith Winston, Abigail Jolley, Jianxin Shi, Nirupama Kotian, Ph.d., M.sc., Lakshmi Balagopalan, Nekesha Rowlett Thomas.

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