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Ani Khachatryan

Bioinformatician

Profile

Bioinformatics Researcher/Analyst with a master’s degree in Biomedical Informatics from Columbia University.

Experiences
Columbia University
2020.01 - 2020.05
Master's Thesis
New York, NY
  • Worked with and analyzed scRNA-seq and neurodevelopmental disorder risk gene data
  • Proved the hypothesis that highly expressed RBP-regulated genes are more likely to be risk genes of neurodevelopmental disorders
Synopsys Armenia CJSC
2018.04 - 2018.09
Data Scientist
Yerevan, Armenia
  • Created efficient automated pipelines to analyze data and generate reports with meaningful visualizations that were used by management to inform important company decisions
Harvard University
2017.07 - 2017.09
Bioinformatics Intern
Cambridge, MA
  • Used the mutual information (MI) metric to find co-evolving sites in protein multiple sequence alignments
  • Demonstrated as a proof-of-concept that co-evolving sites can be used to guide the search for compensational mutations for cancer, thus reducing wet lab costs
  • Was evaluated as “Excellent” at the end of the internship by my supervisor
Institute of Molecular Biology NAS
2015.10 - 2016.12
Bioinformatics Researcher
Yerevan, Armenia
  • Ran in silico biological pathway simulations with microarray gene expression data using Cytoscape and R
  • Demonstrated as a proof-of-concept that it is possible to hypothesize about likely disease mechanisms using healthy and perturbed biological pathways
  • Presented my research as a poster at a Systems Biology conference at Cold Spring Harbor Laboratory
Skills
  • Python (proficient): tensorflow, keras, pytorch, pandas, numpy, scipy, matplotlib, biopython, etc.
  • R (proficient): ggplot, dplyr, bioconductor, seurat, etc.
  • UNIX/LINUX, Bash
  • SQL
  • Git/GitHub
  • Bioinformatics tools: Cytoscape, ClustalW, Galaxy, BLAST, etc.
  • C/C++, Java (beginner)
Education
Columbia University
2018 - 2020
Biomedical Informatics
Master
  • Recipient of the My Step Foundation and AGBU US Graduate Scholarships.
  • GPA: 3.94/4.00
  • Highlighted coursework: Applied Deep Learning, Statistical Inference, Algorithms for Data Science, Computational Methods, Biological Sequence Analysis.
Yerevan State University
2014 - 2018
Biophysics
Bachelor
  • Recipient of the Armenian Government Excellence Scholarship for all academic years.
  • GPA: 3.83/4.00
University of Memphis
2017.01 - 2017.05
Biophysics
Non-degree Exchange Program
  • Recipient of the prestigious Global UGRAD scholarship from the US Department of State.
  • Dean’s List; Global UGRAD Honor Roll
  • GPA: 4.00/4.00
  • Highlighted coursework: Data Visualization with R, Survey of Bioinformatics and Functional Genomics
Languages