Summary
Overview
Work History
Publications
Education
Skills
Awards
References
Timeline
Hi, I’m

Keyvan Khoroush

Computational Biochemist
Toronto,ON
Keyvan Khoroush

Summary

As an accomplished computational Biochemist and a seasoned college professor, I have a proven track record of driving groundbreaking research and effectively communicating intricate scientific concepts. Throughout my career, I have utilized R and Python programming in statistical analysis, resulting in the creation of custom databases and the development of advanced computational and analysis frameworks.

Overview

8
years of professional experience
7
years of post-secondary education

Work History

Vancouver Premier College
Vancouver, British Columbia

College Professor
08.2023 - Current

Job overview

  • Designing, Developing, and Teaching Courses: Introduction to Python | Advanced Research and Writing
  • Creating Dynamic Learning Environments: Engaging Lectures and Interactive Discussions

Simon Fraser University

Teaching Assistant
01.2019 - Current

Job overview

  • CHEM 121 | General Chemistry Laboratory I | Dr. Garry Mund
  • CHEM 366 | Physical Chemistry Laboratory II | Dr. Carla Pretorious
  • CHEM 126 | General Chemistry Laboratory II | Dr. Daniel Leznoff
  • CHEM 285 | Organic Chemistry Laboratory I | Dr. Patty Sommers
  • CHEM 210 | Introduction to Analytical Chemistry | Dr. Paul Li
  • CHEM 122 | General Chemistry II | Dr. Hogan Yu

Sharif University of Technology
Tehran, Tehran

Researcher
01.2016 - 12.2023

Job overview

  • Created Theoretical Framework for Coarse-graining Protein Helix Self-assembly Through Graph-based Modelling and Monte Carlo Simulations
  • Predicted the Free-energy Landscape of Protein Helix Self-assembly by Analyzing Entropy, Peptide, and Hydrogen Interactions via Statistical Thermodynamics

Simon Fraser University
Vancouver, British Columbia

Researcher
01.2019 - 08.2023

Job overview

  • Data Mining: Created Custom Database Through Incorporating Physical and Chemical Properties of Cancer Drug Molecules, Solvents, and Wipe Materials Utilized in Hospital Risk Assessments.
  • Data Analysis: Developed Computational Framework Employing Principle Component Analysis, Multiple Regression, and Machine Learning Algorithms to Train and Model the Database.

Publications

Keyvan Khoroush, James Thompson, Mason R. Hicks, Melissa L. Vermette, Yijing Liang, Minzhi Huang, Mark Y. Teo, Donald T. Yapp, Aaron Danielson, and Byron D. Gates, A Data Analysis Workflow to Guide Improvements to Surface Wipe Sampling of Antineoplastic Drugs, Manuscript submitted in August 2023, Environmental Science: Processes and Impacts (Royal Society of Chemistry)

Keyvan Khoroush, and Mohammad Reza Ejtehadi, Exploring the Self-Assembly of Protein Helix Structures: A Graph-Based Theoretical Framework, Manuscript submitted in June 2023, Physical Chemistry Chemical Physicss (Royal Society of Chemistry)

Melissa L. Vermette, Mason R. Hicks, Keyvan Khoroush, Mark Y. Teo, and Byron D. Gates, Wipe Sampling of Antineoplastic Drugs from Workplace Surfaces: A Review of Analytical Methods and Recommendations, Manuscript submitted in April 2023, International Journal of Hygiene and Environmental Health

Education

Simon Fraser University
Vancouver, BC

Master of Science from Bioinformatics
01.2019 - 04.2023

University Overview

3.8 GPA, Highlighted Coursework:

  • Introduction to Statistical Computing and Exploratory Data Analysis - R programming | Statistics Dept
  • Environmental Health Exposure Assessment and Analysis - SAS programming | Health Sciences Dept

Dissertation: Enhancing Material Design for Anti-neoplastic Drug Wipe Sampling: Leveraging Machine Learning and Data Analysis of Published Literature

Sharif University of Technology
Tehran

Master of Science from Computational Biophysics
09.2015 - 04.2018

University Overview

Ranked 49 among 500.000 contestants, Highlighted Coursework:

  • Statistical Thermodynamics | Advanced Quantum Chemistry | Chemistry Dept
  • Biophysics | Computer Simulations | Advanced Mathematics | Physics Dept

Dissertation: Predicting Free-energy Landscape of Protein Helix Self-Assembly: A Graph-based Modeling Approach with Monte Carlo Simulations and Statistical Thermodynamics

Skills

  • R Advanced
  • Python Advanced
  • LaTeX Advanced
  • Gaussian Intermediate
  • SAS Intermediate
  • GROMACS Beginner

Awards

  • $7000 SFU Graduate Fellowship, Summer 2021
  • $6000 Mitacs Research Training Award, Fall 2020

References

Prof. Byron Gates, Canada Research Chair | Soft Matter and Surface Chemistry | Vancouver, Canada Department of Chemistry | Simon Fraser University | bgates@sfu.ca | +1 778 782 8066

Prof. Reza Ejtehadi, President of Iran Physical Society | Computational Biophysics | Tehran, Iran Department of Physics | Sharif University of Technology | ejtehadi@sharif.edu | +98 21 6616 4525

Dr. Aaron Danielson, Adjunct Professor, Machine Learning and Statistical Modelling | Texas, USA Department of Statistics and Actuarial Science | Simon Fraser University | Aaronjdanielson@gmail.com

Dr. Olivia New, Director of Academic Programs and Academic Researcher | Vancouver, Canada Department of Education | Vancouver Premier Collage | olivian@vpcollege.com | +1 778 848 4298

Dr. Jamal Rahimi, Senior Researcher | Molecular Functional Materials | Dresden, Germany Department of Chemistry | Technische Universitat Dresden | jamal.rahimi1369@gmail.com

Timeline

College Professor

Vancouver Premier College
08.2023 - Current

Simon Fraser University

Master of Science from Bioinformatics
01.2019 - 04.2023

Teaching Assistant

Simon Fraser University
01.2019 - Current

Researcher

Simon Fraser University
01.2019 - 08.2023

Researcher

Sharif University of Technology
01.2016 - 12.2023

Sharif University of Technology

Master of Science from Computational Biophysics
09.2015 - 04.2018
Keyvan KhoroushComputational Biochemist