aishwarya .
Bioinformatician II at Icahn School of Medicine at Mount Sinai
bioinformatics | data analytics | biostatistics | multi-omics
5+ year experience bioinformatics data analytics using supervised unsupervised data mining approach . actively looking opportunity immunology , cancer research genomics research involving ng pipeline development multi-omics data analysis . passionate computational , statistical data mining approach high-throughput biomedical data processing analytics . skill : • r , python , nextflow , shell scripting , sql , sa , matlab , tableau • r markdown , jupyter notebook , r shiny , dash , data visualization package r python github : http : //github.com/am794
Icahn School of Medicine at Mount Sinai
https://www.linkedin.com/company/icahnmountsinai
Bioinformatician II
• Providing bioinformatics support in translational research projects
• NGS data processing and pipeline development  
• Single cell data processing from 10X platform - 10X GEX, 10X ATAC, citeseq, Spatial Transcriptomics, Multiomic data
• Analyzing high-throughput data using custom scripts in shell, Python and R
• Downstream Analysis - Differential Expression analysis; Differential Methylation analysis; Functional Analysis
• Working on Visual analytics for bioinformatics data using RShiny. Reporting detailed results using RMarkdown/Jupyter notebooks
New York, New York, United States
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J. Craig Venter Institute
https://www.linkedin.com/company/j-craig-venter-institute
Bioinformatics Analyst
• Provided Flow and Mass Cytometry data analytical support in collaborative immunology research projects
• Applied computational and data driven approaches for immune cell surface phenotyping
• Used supervised and unsupervised data mining approaches for analyzing the data
• Performed statistical modeling for cross-sectional and longitudinal data using linear regression, GLM, mixed effects models, GLMM, ANOVA
• Experienced in static and interactive data visualization in R and Python; Data Manipulation using SQL.
• Performed downstream statistical analysis of RNA-seq data using packages like DESeq2, edgeR, limma for differential gene expression analysis
• Performed pathway analysis and gene set enrichment analysis
La Jolla, California, United States
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University at Buffalo-State University of New York, NY State Center of Excellence in Bioinformatics
Research Assistant
• Worked on evaluation of genome wide supervised cis-regulatory module prediction program implementing various statistical methods for scoring schemes. 
• Implemented machine learning techniques to learn parameters from the training sets of Drosophila Melanogaster to predict the CRMs in test sets obtained from other species. 
• Tools and software used :  Bedtools, R, Python
University at Buffalo, The State University of New York, Department of Biostatistics
Research Assistant
• Worked on Model based Clustering approaches especially in High-dimensional data (with n << p case) using packages on R.
• Dimension reduction, regularization, subspace clustering approaches in model-based clustering for NCI-60 cancer dataset and other simulated datasets using R packages.
• Compared the accuracy using similarity measures for clusters.
Synteny Life Sciences Pvt. Life sciences
https://www.linkedin.com/company/synteny-life-sciences
Research Intern
• Implemented Protein homology modeling, Docking and Mutational studies for c-Kit, PDGFRA proteins and Tyrosine kinase inhibitor ligands.
• Applied QSAR properties and De-novo drug designing using bioinformatics approaches.
• Used Accelrys discovery studio, MOE, Schrodinger, auto dock.
• Explored and retrieved the data from PubChem, Protein bank in NCBI, PDB databases.
https://media-exp1.licdn.com/dms/image/C560BAQEeb3fmURnJTA/company-logo_100_100/0/1603195299518?e=1655942400&v=beta&t=I27M_J93JUKeF-TGuwt82WRD9cpj30nLsO2UotYbbjk
Bioinformatics and Biostatistics
Master’s Degree
University at Buffalo
https://www.linkedin.com/school/university-at-buffalo's-school-of-public-health-and-health-professions/
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Biotechnology
Bachelor of Technology - BTech
Sreenidhi Institute of Science and Technology
https://www.linkedin.com/school/sreenidhi-snist/
https://media-exp1.licdn.com/dms/image/C510BAQHJM7wTPjQuaA/company-logo_100_100/0/1580446228928?e=1655942400&v=beta&t=G_HW4WmMpcBQhl_RE_ztrkAsa6CDvRZFGlHgLwu0UrI
INSILICO ANALYSIS OF VINCA ALKALOIDS AS ANTIMITOTIC AND ANTI-MICROTUBULE AGENTS: A POTENTIAL CURE FOR CANCER
INTERNATIONAL JOURNAL OF  PHARMACEUTICAL SCIENCES AND RESEARCH
The four vinca alkaloids, Vinblastine (VBL), vinorelbine (VRL), vincristine (VCR) and vindesine (VDS) work by inhibiting the ability of cancer cells to divide by disrupting the microtubule functioning, causing metaphase arrest. This study involved docking studies of alpha-beta subunits of tubulin with the four vinca alkaloids and comparison of their binding affinities.
http://ijpsr.com/bft-article/insilico-analysis-of-vinca-alkaloids-as-antimitotic-and-anti-microtubule-agents-a-potential-cure-for-cancer/
SNIST-ISTE GOLD MEDAL
SNIST
Received gold medal in the Department of Biotechnology for standing first in academics through 2011-15
Merit certificate
SNIST
Received an award in academics through 2014-15
Academic award
SNIST
Received a merit certificate for the academic year 2013-14
Analysis of Variance
STA504
Bioinformatics and Computational Biology
BCH519
Bioinformatics and Genome Analysis
BIO 500
Introduction to Statistical inference
STA502
Public health population well being
CHB550
Regression Analysis
STA503
Statistical Computing
STA511
Statistical Data Mining: Supervised learning
STA545
Statistical Data Mining: Unsupervised learning
STA546
Statistical Genomics
STA509
Statistics for Bioinformatics
STA525
Biochemistry
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Bioinformatics
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Cell Biology
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Computational Biology
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Genetics and Molecular Biology
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Immunology
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Categorical data analysis
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Longitudinal data analysis
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Model-based clustering approaches for high-dimensional data
Bank Credit Risk Analysis With Bayesian Network Decision Tool:
Developed and compared Bayesian network models for determining if a new applicant is a good credit risk or a bad credit risk.
https://uk.linkedin.com/in/eleanor-groves-528000174
Eleanor Groves
Health Data in Practice PhD Programme Manager at Queen Mary University of London
Kingston upon Thames
https://www.linkedin.com/in/lauren-hsu-155a282a
Lauren Hsu
PhD Candidate in Biostatistics @ Harvard
Cambridge, MA
https://www.linkedin.com/in/lindsey-rateau
Lindsey Rateau
Statistical Programmer II at Biostatistics and Epidemiology Data Analytics Center (BEDAC)
Greater Boston
https://gr.linkedin.com/in/giorgos-maragkopoulos-316196198
Giorgos Maragkopoulos
Highly motivated Data Scientist with a passion in the area of time series forecasting
Aryiroúpolis
https://uk.linkedin.com/in/ahmad-zyoud-68744229
Ahmad Zyoud
Bioinformatician at European Bioinformatics Institute | EMBL-EBI
Cambridge
https://www.linkedin.com/in/sanjavickovic
Sanja V.
Tech enthusiast | Assistant Professor Columbia University | Core Faculty NYGC | Wallenberg Academy Fellow Uppsala University
New York, NY
https://www.linkedin.com/in/abby-sloan-47528a179
Abby Sloan
Manager of Biostatistics at Pfizer
Greater Boston
https://uk.linkedin.com/in/joseph-ellaway
Joseph Ellaway
Bioinformatician at European Bioinformatics Institute | EMBL-EBI
Mulbarton
https://www.linkedin.com/in/jieqiong-dai-phd-a1997135
Jieqiong Dai, PhD
Senior Bioinformatics Scientist in Clinical Research and Application
Washington DC-Baltimore Area
https://www.linkedin.com/in/david-requena-0547b714a
David Requena
Scientist with expertise in Bioinformatics, MultiOmics, Immunoinformatics and Spatial Transcriptomics for Cancer Research
New York City Metropolitan Area
https://www.linkedin.com/in/xingyu-li-748ab13b
Xingyu Li
Senior Manager, Biostatistics at Alnylam Pharmaceuticals
Cambridge, MA
https://www.linkedin.com/in/chongshutonychen
Chongshu (Tony) Chen
Manager Biostatistics at Alnylam Pharmaceuticals
Cambridge, MA
https://www.linkedin.com/in/tyler-waite-956061122
Tyler Waite
Scientific Researcher at Genentech
San Francisco Bay Area
https://www.linkedin.com/in/xiaoyu-lu-19451b153
XIAOYU LU
Single Cell Sequencing/Spatial Transcriptomics Co-Op at Merck
Indianapolis, IN
https://www.linkedin.com/in/chenhao-li-1b695b99
Chenhao Li
Research Fellow at Broad Institute of MIT and Harvard
Cambridge, MA
https://uk.linkedin.com/in/maisey-davidson-294359117
Maisey Davidson
Bioinformatician at Bactobio
United Kingdom
https://www.linkedin.com/in/thuyngo1
Thuy Ngo
Recruiter at Catalent Pharma Solutions
Greater Boston
https://www.linkedin.com/in/shainalu
Shaina Lu
Bioinformatics Scientist at Eagle Genomics
United States
https://www.linkedin.com/in/prachitiprabhu
Prachiti P. Prabhu
Bioinformatics Software Engineer at Genentech
San Francisco Bay Area
Shwetha Hara Sridhar
      
          



            
              
        
              
  

    
        "Hard work always pays off", is the phrase that comes to mind when I think about Aishwarya. I’ve had the pleasure of knowing Aishwarya for 7 years, during which we worked on several RNAseq and ChIPseq Analysis projects together. Above all, I was impressed with Aishwarya’s ability to grasp any concept in a short span of time. She enjoys learning more and is always the best at what she does. She is a hard worker and has been a gold medalist during her bachelors program. She has always been actively involved in multiple levels of research projects. Aishwarya, would be a true asset for any positions requiring statistical analysis, bioinformatics and genomics analysis knowledge and skills and comes with my heartfelt recommendation.
Thank you FRAXA and the Pierce Family Fragile X Foundation for supporting our exciting research! #research #thankyou #innovation #community…
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Congratulations to Viome Life Sciences team for another breakthrough research. Gut microbiome activity predicts the risk of type 2 diabetes and…
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I am honored to announce that I have completed my 10 week externship as a member of the Clinical Assistant Program at Memorial Sloan Kettering Cancer…
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Aishwarya M
https://in.linkedin.com/in/aishwarya-m-5564aa170
Talent acquisition specialist at Ian Martin group
Bengaluru
Aishwarya M
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Chennai
Aishwarya M
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(Qt l Cpp l HMI) at QuEST Global Engineering Services , Pvt Ltd
Palghat
Aishwarya M
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Budding Content Creator
Tamil Nadu, India
Aishwarya M
https://in.linkedin.com/in/aishwarya-m-b4671613b
Data Analyst at KPMG Global Services | Microsoft Certified Data Engineer
Bengaluru
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Machine Learning and Data Science
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NGS (Next Generation Sequencing)
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Biostatistics
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Data Mining, Statistics, Big Data, Data Visualization, AI, Machine Learning, and Data Science
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Bioinformatics & Computational Biology (B&CB) : The emerging science
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