Sagar Chhangawala
Director, Computational Biology at eGenesis bio
- Role
- Director, Computational Biology at eGenesis
- Location
- Cambridge, MA, US
- LinkedIn followers
- 500 followers
About Sagar Chhangawala
Multi-disciplinary, collaborative and innovative computational biologist with over 10 years of training and professional experience in basic and translational computational research. Strong experience in working with high-dimensional sequencing data that spans multiple fields of biology including genomics, epigenomics, genome editing, cancer, immunology, and machine learning techniques to discover novel insights, proven by the strong publication record. Experienced in building a team of talented scientists and enthusiastic about team work in a collaborative environment.Key Technical Skills:• Experience with building and managing talented team of computational scientists • Familiar with NGS tools including DNA/RNA aligners, SAMtools, BAMtools, GATK and DESeq2• Working knowledge of machine learning, neural networks, statistics, dimensionality reduction and clustering algorithms. • Experience working in Linux, cloud-computing (AWS) and high-performance clusters• Programming Languages: R, Python, Perl, Bash scripting, C++, Java
Experience
Director, Computational Biology
Jan 2024 — Present · Cambridge, MA, US
Education
Joan & Sanford I. Weill Medical College of Cornell University
Doctor of Philosophy (Ph.D.), Computational Biology
2014 — 2019
Middlesex College
Associate Degree, Computer Science (Transfer)
2006 — 2009
New York University
Master of Science - MS, Bioinformatics
2011 — 2012
New Jersey Institute of Technology
Bachelor of Science - BS, Bioinformatics
2010 — 2011
Skills
- Python
- Unix
- Genomics
- Database Design
- Statistics
- C++
- Database Administration
- Research
- Computer Science
- R
- Bioconductor
- Systems Biology
- Linux
- Dna Sequencing
- Data Analysis
- Samtools
- Data Mining
- Science
- Molecular Biology
- Bioinformatics
- Relational Databases
- Computational Biology
- Shell Scripting
- Next Generation Sequencing
- Perl
- Life Sciences
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