Scientist, Technology

• Oct 2022 - Present

Lead Computational Biology Scientist at Proteic Bioscience

• Feb 2021 - Jun 2022

• Designed and modelled anti-cancer and anti-bacterial protein and peptide bio-therapeutics using molecular dynamic, docking, sequence analysis, similarity search and homology modelling. Experienced in protein-protein, protein-ligand and protein-peptide interactions and designing techniques. • Designed and modelled novel anti-cancer and anti-bacterial protein molecules, protein molecules, peptide biotherapeutics and small-molecules using molecular dynamics, docking, sequence analysis, consensus docking, similarity search and homology modelling. • Developed and built automated simulation, calculation and analysis pipelines for anti-cancer drug design and optimized runtime for AWS. • Functioned as a bridge between the computational biology and ML department and transited between projects. • Developed task automation, optimization and efficiency testing on Python and bash scripts. • Trained machine learning algorithms and Neural Networks (ML). • Performed data engineering on a large dataset of proteins to prepare the input for a Neural Network model. • Conducted binding energy calculation on a large database of proteins to feed and train machine learning algorithms. Show less

Postdoctoral Fellow/Researcher

• May 2020 - Jan 2021

• Computational modeling and drug discovery for COVID-19• Predicted and modeled the 3D structure of a therapeutic agent of SARS-CoV2 RNA frameshifting (COVID-19 virus).• Identified procedural areas to improve efficiency and optimization, and conducted task automation on Python and bash scripts for MD simulations and virtual screening for a large database of compound.• Performed consensus docking on four docking software for a large screened ligand database.• Performed cloud computing and simulations on high performance computers, Compute Canada and AWS.• Visualized molecular dynamic trajectories and applied post processing analysis techniques.• Analyzed and performed cluster analysis techniques to select the therapeutic agents among a large number of data.• Finalized and unified the top candidates for experimental validation among more than 1 million complexes.• Collaborate and coordinate with wet lab scientists to translate experimental results into computational modelling needs and vice versa.• Mentored summer interns and graduate/undergraduates with less experience in the group. Show less

Biomedical Researcher (Biophysicist) - PhD Candidate

• Sep 2015 - May 2020

• Designed RNA docking of different variations of flavonoid virus and performed docking and molecular simulation as well as cluster analysis.• Ran and designed amino acid(AA) docking and nucleotide simulations on all AA permutations using multiple software for statistical studies.• Conceptualized a new model to predict the cytotoxicity effect of anti-cancer agents and correlate with the Ising model theory.• Analyzed and modelled the clinical data on chemotherapy/radiotherapy and modelled the cancer cell response using a condensed matter theory of spins. • Accelerated the prediction of half maximal inhibitory concentration(IC50) value using the designed model by 90%.• Applied statistical analysis on probability of amino acid mutations of p53 protein in pancreatic cancer clinical data.• Performed data engineering to extract, clean and create a large protein complex database and implemented cluster analysis techniques.• Developed statistical search on the physical basis of the genetic code and the binding affinity of the protein building blocks across the species.• Performed free energy calculations using energy optimization methods and MM/QMM on proteins and amino acids.• Automated parallel computing and job submission for CPU and GPU on Compute Canada cluster. • Analyzed and modeled the genetic code algorithm using 6D hypercube and supersymmetric representation theory.• Launched, optimized and employed data migration and ETL process to create and transfer data between clusters using bash scripting.• Published more than 6 secured publications in prestigious journals in various fields through executing state-of-the-art art computational approaches. Show less

Private Tutor at University of Alberta

• Sep 2015 - Jan 2020

Teaching Physics, Mathematics and Statistics

Graduate Teaching Assistant

• Sep 2015 - Dec 2019

Teaching Assistant for Physics and Engineering Physics courses (PHYS 124, 126, EN-PH 131)Research Assistant on Biophysics and Computational Biology

Private Tutor Graduate, Undergraduate and High School level

• Sep 2006 - Jul 2015

Physics, Mathematics, Statistical Mechanics, Quantum Mechanics, Algebra, Calculous, Analytical Mechanics, Electromagnetic, Particle Physics, Space Physics, Computational Physics Physics, Mathematics, Statistical Mechanics, Quantum Mechanics, Algebra, Calculous, Analytical Mechanics, Electromagnetic, Particle Physics, Space Physics, Computational Physics

SECA-ENG Calibration Organization

• Sep 2009 - Sep 2010

Digital Multimeters, Voltage Standards, Calibration Software, Current Shunts, Resistance Standards, Electrical Test Calibrators, Multiproduct Calibrators Digital Multimeters, Voltage Standards, Calibration Software, Current Shunts, Resistance Standards, Electrical Test Calibrators, Multiproduct Calibrators