Tochukwu Olie
Houston
Summary
Results-driven research associate with extensive experience in computational modeling, data analysis, and developing machine learning (ML) and natural language processing (NLP) solutions. Proficient in Python, MATLAB, and SQL, with hands-on expertise in designing and implementing scalable ML pipelines, statistical modeling, and algorithm development. Adept at collaborating with cross-disciplinary teams to address complex challenges, integrate empirical data with computational approaches, and deliver innovative solutions. Published researcher with experience presenting findings at high-impact conferences.
Overview
3
3
years of professional experience
Work History
Research Assistant-Computational Biology & DS
Wisconsin Institute for Discovery
05.2023 - Current
- Designed computational models to evaluate the effects of low-dose and high-dose radiation on immune cells, integrating theoretical frameworks with experimental data to simulate immune responses.
- Developed scalable machine learning pipelines to incorporate hydrogen peroxide (H₂O₂) concentration data into predictive models of cellular apoptosis and necrosis, improving accuracy of biological outcome prediction.
- Applied advanced statistical analysis and NLP techniques to large-scale biological datasets to characterize indirect radiation-induced behavior in macrophage populations.
- Engineered data processing and visualization tools in Python and MATLAB for real-time analysis of velocity rates in biochemical reactions, enabling high-throughput reaction profiling.
- Collaborated across multidisciplinary teams, including biologists, data scientists, and engineers, to align computational models with experimental protocols and biological interpretations.
Research Intern-Computational Systems Biology
University of Wisconsin-Madison
05.2022 - Current
- Investigated GFP-induced promoter activity in cells by modeling gene expression dynamics; developed ODE-based simulations to visualize temporal changes in fluorescence and transcriptional activation.
- Produced high-impact visualizations and scientific figures using Python and MATLAB, incorporating ODE-based (deterministic and stochastic) modeling to support data-driven storytelling in presentations, reports, and academic publications.
- Applied quantitative analysis techniques to interpret experimental data related to gene regulation under cellular stress conditions.
- Gained interdisciplinary experience in theoretical biological modeling through participation in the Center for Theoretical Biological Physics (CTBP) and Frontiers in Science (FIS) research programs.
- Collaborated with biophysics and bioinformatics researchers, integrating mathematical models with empirical data to explore gene circuit dynamics in stress biology.
Intern Researcher- Computational Biology/Radiology Technician
Texas Southern University
05.2022 - 05.2024
- Conducted computational modeling of radiation-induced water radiolysis and its downstream effects on lung epithelial cells using Python and MATLAB, contributing to the understanding of oxidative stress mechanisms.
- Designed and automated experimental workflows for lung cell radiation studies, integrating machine learning algorithms to predict cellular responses under various irradiation conditions.
- Applied cell culture techniques such as passaging and seeding; conducted post-radiation supernatant analysis to quantify biomarkers and assess biological impact.
- Developed analytical pipelines to process experimental and simulation data, enabling high-throughput analysis and reproducibility across radiation condition variations.
- Contributed to cross-functional biological system modeling efforts within the TSU/PREP Program, supporting broader research goals in computational toxicology and radiobiology.
Education
Bachelor of Science - Biology/Physics
Texas Southern University
Houston, Texas08-2024
Skills
- Deterministic and stochastic modeling in systems biology
- Financial data analysis with SQL
Programming languages: Python, MATLAB, Java, R, SQL,Proficient in machine translation technologies
Modeling & Analysis:
- Data visualization with Python
- SQL proficiency
- Statistical Modeling, Experimental Design, Report Automation
Data:
Affiliations
National Society of Black Physicists (NSBP)
Timeline
Research Assistant-Computational Biology & DS
Wisconsin Institute for Discovery
05.2023 - Current
Research Intern-Computational Systems Biology
University of Wisconsin-Madison
05.2022 - Current
Intern Researcher- Computational Biology/Radiology Technician
Texas Southern University
05.2022 - 05.2024
Bachelor of Science - Biology/Physics
Texas Southern University
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