Computational Biologist
Little Rock, AR
kalyanidhusia.bhu@gmail.com
5175054885
` Skills
Bioinformatics
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Virtual reality
Media
Langauge
Python
R
Perl
Keywords: Medical Database, sql, Python and R
Assistant Staff Scientist (MMDB) position in the Department of Biochemistry and Molecular Biology (https://biochemistry.uams.edu/) at the University of Arkansas for Medical Sciences (UAMS) extracts and compiles medical research data from existing databases within the Winthrop P. Rockefeller Cancer Institute. This position works closely with CI faculty to perform targeted database queries and distribute requested data in compliance with IRB rules and regulation.
Tools used: MS access, MS-SQL, python, R
Keywords: Coarse-grain simulation, Server, Database development, Machine learning, High performance computing (HPC), Python and R
• Construction of large scale database with structural bioinformatics dataset and
• Develop machine learning based computational algorithms to study the dynamics of protein-protein interaction of membrane receptors in immune systems and their functional role in cell signal transduction
• Using Coarse-Grained simulations to characterize the Mechanisms of Protein–Protein Association
Keywords: Epigenomics analysis, Machine learning, HPC, Python and R
• focus on development of predictive models of genomic binding by the nuclear receptors, aryl hydrocarbon receptor (AHR) and nuclear factor (erythroid-derived 2)-like 2 (Nrf2)
• Collect, prepare and analyze research data; keep a detailed note of summarized experiments
• tabulate and display data for presentation in research conferences and for manuscript preparation; used computational and statistical software to analyze and present data
• Supervise and help other personnel in the lab to coordinate research efforts for increased efficiency; participate in training of grad/masters/PhD students, and volunteer workers as needed
Keywords: Microbial and fungal pathogens, MD simulation, HPC, Python
• Focused on the pathway analysis for siderophore production in bacterial pathogens • Studied the dynamics of siderophore production enzymes and their antibiotics conjugates • Examined, predicted and designed siderophore-antibiotic conjugates for specific drug delivery
• Tools: HM, threading and ab-initio modeling, AutoDock Vina, Schrodinger, Gromacs and Ambertools