User:Msamdars

Mihir Samdarshi

This page is under construction.

Contact Information

Snail Mail:

1 LMU Drive, MSB-5848
Los Angeles, CA 90045

email:

msamdars(at)lion(dot)lmu(dot)edu

Education

Loyola Marymount University

Location: Los Angeles, CA

Degree: Bachelor's of Science

Major: Biology

Minor: Computer Science

Anticipated Graduation: December, 2019

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Related Courses

Biology	Computer Science
Molecular Biology of the Genome ¹ General Microbiology ¹ Urban Ecology ¹ Plant Biotechnology General Physiology Epidemiology Genetics Laboratory ¹ ¹ signifies that the course was a lab course or taken concurrently with a lab version of the course	Computer Programming Programming Lab Data Structures Algorithms Interaction Design Programming Languages

Research Experience

Department of Biology, Loyola Marymount University

LMU Bioinformatics and Biomathematics Group (September 2015 – Present)

Los Angeles, CA

Advisors: Dr. Kam Dahlquist & Dr. John David Dionisio

GRNSight

Web app and service for visualizing models of gene regulatory networks.

• Currently the senior-most member of lab, in charge of leading the major release initiative
• Combined knowledge of genetics and biology with computer science to create innovative visualization tool for small-scale gene regulatory networks
• Gained valuable experience working with Javascript, HTML5/CSS3, Python, Node.js, D3.js, Bootstrap, ReactJS, Jekyll, Mocha, Chai, GitHub, Linux, and Photoshop
• Worked on refactoring codebase, implementing test-driven development practice, and adding new functions
• Assisted with time-course experiments measuring yeast gene expression using DNA microarrays

Department of Bioengineering, University of California – San Diego

Cardiac Mechanics Research Group (June 2019 – August 2019)

San Diego, CA

Advisors: Dr. Jeff Omens & Ariel Wang

Computational fibrosis model of interactions between myofibroblasts and macrophages mediated by compound 43

On Github

• Created a specialized program in Python in order to simulate sets of ordinary differential equations meant to represent two cells, cardiac fibroblasts and M1/M2-type macrophages
• Gained valuable experience working in Python, utilizing open source packages like Pandas, Matplotlib, Numpy, and more

Department of Biochemistry, University of Nebraska-Lincoln

Redox Biology Center (June 2018 – August 2018)

Lincoln, NE

Advisors: Dr. Jiri Adamec & Ryan Grove

Mathematical model of neuronal energy metabolism pathways affected in epilepsy

• Used common computational/mathematical biology tools to create a mathematical model of energy metabolism in neurons and astrocytes
• Created and executed various wet lab experiments with C. elegans in order to validate the results of the mathematical model; used a thrashing assay to quantify and compare results between various trials with differing variables
• Gained valuable experience working with MATLAB, COPASI, Cell Designer, and various MATLAB modeling packages like Recon 3D.

Publications & Presentations

Samdarshi M. (2019, August). Computational fibrosis model of interactions between myofibroblasts and macrophages mediated by compound 43. Oral session presented at UCSD Summer Research Conference, San Diego, CA

Samdarshi M. (2019, April). New layouts, data types, and architecture for GRNsight 3: a web application for visualizing gene regulatory networks. Oral session presented at LMU Undergraduate Research Symposium, Los Angeles, CA

Samdarshi M. (2019, February). New layouts, data types, and architecture for GRNsight 3: a web application for visualizing gene regulatory networks. Poster session presented at Southern California Systems Biology Conference, Irvine, CA

Samdarshi M. (2019, February). Formulation and Validation of a Mathematical Model of Neuronal Energy Metabolism Pathways in Epilepsy. Poster session presented at Southern California Systems Biology Conference, Irvine, CA

Samdarshi M. (2018, August). Formulation and Validation of a Mathematical Model of Neuronal Energy Metabolism Pathways in Epilepsy. Poster session presented at Nebraska Summer Research Symposium, Lincoln, NE

Samdarshi M. (2018, March). Data Comparison Features and Development Tool Improvements for GRNsight: a Web App for Visualizing Gene Regulatory Networks. Poster session presented at Tri-Beta Pacific Division Conference, Irvine, CA

Samdarshi M. (2018, March). Data Comparison Features and Development Tool Improvements for GRNsight: a Web App for Visualizing Gene Regulatory Networks. Poster session presented at LMU Undergraduate Research Symposium, Los Angeles, CA

Samdarshi, M., Shin Y., Bachoura E., & Choe, A. (2017, March). Improved data interoperability for GRNsight: a web application for visualizing models of gene regulatory networks. Poster session presented at LMU Undergraduate Research Symposium, Los Angeles, CA

Varshneya, A., Samdarshi, M., Anguiano N., & Shin. Y., (2017, January). New features improve GRNsight: a web application for visualizing models of gene regulatory networks. Poster session presented at Southern California Systems Biology Conference, Irvine, CA

Varshneya, A., Anguiano N., & Samdarshi, M. (2016, March). Test-driven development improves GRNsight: a web application for visualizing models of gene regulatory networks. Poster session presented at Experimental Biology, San Diego, CA

Varshneya, A., Anguiano N., & Samdarshi, M. (2016, March). Test-driven development improves GRNsight: a web application for visualizing models of gene regulatory networks. Poster session presented at LMU Undergraduate Research Symposium, Los Angeles, CA

Papers

Dahlquist KD, Dionisio JDN, Fitzpatrick BG, Anguiano NA, Varshneya A, Southwick BJ, Samdarshi M. (2016) GRNsight: a web application and service for visualizing models of small- to medium-scale gene regulatory networks. PeerJ Computer Science 2:e85 https://doi.org/10.7717/peerj-cs.85