Ayush Raman Email and Phone Number
Ayush Raman work email
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Ayush Raman personal email
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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
National Cancer Institute (Nci)
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National Cancer Institute (Nci)Bethesda, Md, Us -
Staff ScientistNational Cancer Institute (Nci) Apr 2024 - PresentBethesda, Md, Us -
Postdoctoral Research FellowDana-Farber Cancer Institute Jan 2022 - Apr 2024Boston, Ma, UsAryee Lab, Data Science Dept, DFCI -
Statistical Epigenomics Postdoc AssociateBroad Institute Of Mit And Harvard Dec 2018 - Apr 2024Cambridge, Ma, UsPostdoc with Prof. Martin Aryee, Prof. Alex Meissner and Dr. Andreas Gnirke groups -
Graduate StudentBaylor College Of Medicine Sep 2013 - Sep 2018Houston, Texas, UsI 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) -
Bioinformatics Scientist, Shmulevich LabInstitute For Systems Biology Jul 2010 - Jul 2013Seattle, Washington, UsCollaborated 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 -
Statistician, Devlin And Roeder LabUpmc Nov 2009 - Jul 2010Pittsburgh, Pa, UsA 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 -
Software Programmer (Staff--Ra)School Of Medicine, University Of Pittsburgh Apr 2009 - Oct 2009Pittsburgh, Pa, UsWorked 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. -
Research Assistant, Schwartz LabCarnegie Mellon University May 2008 - Dec 2008Pittsburgh, Pa, UsWorked on discrete event self-assembly simulation software, a package for fast simulation of self-assembly systems. -
Research Assistant, Murphy LabCarnegie Mellon University Sep 2007 - Jan 2008Pittsburgh, Pa, UsDevelopment of Database using PostgreSQL and JSP as back-end and front-end respectively in Bob Murphy's Lab. -
Research Associate, Labs Of S. Ramachandran & Vani BrahmachariInstitute For Genomics And Integrative Biology Dec 2005 - Sep 2006Delhi, Delhi, InIt 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
Ayush Raman Education Details
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Harvard UniversityComputational Epigenomics -
Broad Institute Of Mit And HarvardComputational Epigenomics -
Baylor College Of MedicineComputational Biology -
Carnegie Mellon UniversityComputational Biology -
Vellore Institute Of TechnologyBioinformatics -
Hindu College, University Of DelhiChemistry Hons -
Delhi Public School NoidaMathematics 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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