Tricity M. Andrew
Seattle,WA
Summary
I am an Applied Mathematician with extensive experience in computational modeling and interdisciplinary research in various fields. I have a strong foundation in computational modeling and quantitative sciences, as well as expertise in data-driven solutions, sensitivity analysis, and uncertainty quantification (UQ). My proficiency extends to agent-based modeling, systems modeling, statistical modeling, statistical analysis, and data science & machine learning. My ability to communicate effectively with professionals from different backgrounds allows me to bridge gaps and facilitate productive exchanges of ideas. Due to my deep understanding of mathematical principles and excellent communications skills, I am adept at tackling complex challenges and extracting valuable insights from data.
Overview
15
15
years of professional experience
Work History
Research Scientist (Computational Biology)
Seattle Children's Research Institute, Center for Developmental Biology & Regenerative Medicine
01.2024 - 09.2025
- Managed large scRNA-Seq datasets and implemented bioinformatics pipelines using Seurat to gain insights for treatment & prevention during cardiopulmonary bypass (CPB).
- Trained junior lab members in basic machine learning techniques.
Data Scientist: data-driven intelligence/machine learning
Atmos Energy
04.2023 - 12.2023
- Designed Python scripts to streamline forecasting abilities via harmonic equations and Bayesian update methods.
- Utilized historical weather patterns, predictions, and forecasts to model natural gas supply and demand by U.S. geographic region.
Postdoc in Computational Developmental Biology
NC State University, Dept. Of Physics
08.2020 - 12.2021
- Using CompuCell3D, constructed agent-based computational models of developmental processes in the development of the Xenopus laevis (frog) stomach.
- Ran computational in silico simulations to gain insight into cell behavior and mechanical properties involved in left-right asymmetric development. Validated results with experimental, in vivo results from collaborators in the NCSU Veterinary School.
Research Assistant
NC State University, Dept. of Mathematics
06.2015 - 06.2020
- Developed computational models for diffusive transport in heterogeneous materials, utilizing direct simulation of particle interactions. Employed simulation results to create surrogate Markov Chain models and connected in silico findings to theoretical models for diffusivity, specifically the Diffusion Equation obtained via Taylor Series Expansion.
- Related simulation results to theoretical estimates of diffusivity and the diffusion equation, focusing on chondrocytes' movement in cartilaginous systems.
Intern in Quantitative Systems Pharmacology (QSP)
Pfizer
06.2019 - 08.2019
- Developed MATLAB code for a Gaussian Process emulator using Bayesian inference applied to ordinary differential equation (ODE)-based cardiac models to optimize parameter space exploration. The emulator method enabled more efficient exploration, significantly reducing computational time, a critical advantage in computationally expensive QSP modeling (quantitative systems pharmacology).
Research Assistant in Computational Biology
Virginia Bioinformatics Institute
08.2013 - 05.2015
- Modeled differentiation of CD4+ T cells using MATLAB and COPASI software. Further developed the network model, performed sensitivity analysis to identify key network features. Focus on immunology and gut health.
Undergraduate research assistant
The University of Tulsa
06.2010 - 03.2013
- September 2012 – March 2013: Epidemic Modeling. Utilized SIR modeling for a Cholera Epidemic in Ecuador, exploring prevention and treatment strategies
- Summer 2010: Genomic Data Analysis. Used Python & BLAST sequence alignment tools to sequence genomes as well as other bioinformatics tools to analyze genome-wide association studies (GWAS) data of human disease.
- Summer 2011: Computational modeling of immune system. Modeled immune response to influenza virus using agent-based & differential equations-based methods via Python, NetLogo.
Undergraduate researcher
Virginia Bioinformatics Institute
06.2012 - 08.2012
- Explored parameter estimation & network perturbation methods to solve the DREAM Challenge (Dialogue for Reverse Engineering Assessments & Methods).
Education
Ph.D. - Applied Mathematics
North Carolina State University
Raleigh, NC07-2020
Bachelor of Science - Mathematics
University of Tulsa
Tulsa, OK05-2013
Skills
- MATLAB
- Python, Scikit-learn, & Tensorflow, PyTorch, Keras
- CompuCell3D
- R
- Jupyter Notebooks
- High performance computing (HPC)
- Command line / bash
- Microsoft Office
- Azure ML
- GitHub
- SQL
- Mathematical / Computational modeling
- Machine Learning & Data Science
- Applied Statistics
- Statistical Analysis
- Interdisciplinary Research
- Uncertainty Quantification (UQ)
- Markov Chain Monte Carlo Simulation
- Communication
Affiliations
- Association for Women in Mathematics (AWM) Student Chapter 2015-2021
- NCSU President 2018 - 2019, Vice President 2017 – 2018, Treasurer 2016 - May 2017
- Planning, outreach, workshop leadership, and networking for Sonia Kovalevsky Day (event for Middle School Girls to encourage interest in mathematical sciences) 2016-2019
- Triangle Women in STEM (TriWiSTEM) 2020-2022 Communications & Social Media Team Member
- DEI (Diversity, Equity, and Inclusion) Committee May 2021-November 2021 Dept. of Physics, North Carolina State University Raleigh, NC
Timeline
Research Scientist (Computational Biology)
Seattle Children's Research Institute, Center for Developmental Biology & Regenerative Medicine
01.2024 - 09.2025
Data Scientist: data-driven intelligence/machine learning
Atmos Energy
04.2023 - 12.2023
Postdoc in Computational Developmental Biology
NC State University, Dept. Of Physics
08.2020 - 12.2021
Intern in Quantitative Systems Pharmacology (QSP)
Pfizer
06.2019 - 08.2019
Research Assistant
NC State University, Dept. of Mathematics
06.2015 - 06.2020
Research Assistant in Computational Biology
Virginia Bioinformatics Institute
08.2013 - 05.2015
Undergraduate researcher
Virginia Bioinformatics Institute
06.2012 - 08.2012
Undergraduate research assistant
The University of Tulsa
06.2010 - 03.2013
Bachelor of Science - Mathematics
University of Tulsa
Ph.D. - Applied Mathematics
North Carolina State University
PAPERS & PRESENTATIONS
- TM Andrew, MA Haider. “Bridging Continuous and Lattice-Based Models of Two-Dimensional Diffusion: A Systematic Approach for Estimating Transition Probabilities, Grid Size, and Diffusivity.” Appl. Sci. 2024, 14(13), 5442
- TM Andrew, JD Nance, & MA Haider. “A Markov chain surrogate model for a two-dimensional interacting particle system with internal collisions.” 2022. http://arxiv.org/abs/2202.02225 (Preprint)
- Andrew, T., Belmonte, J. Computational modeling to gain insight into developmental processes shaping stomach curvature. Soc. for Mathematical Biol. Virtual. June 2020.
- Andrew, T. “Random walk simulation of solute transport for identifying diffusivity in biomaterial scaffolds for tissue engineering.” Biol & Medicine through Mathematics Conference. Richmond, VA. May 2018.
- Andrew, T., Haider, M.A. “A phenomenological mixture model for growth of tissue engineered cartilage in cell-seeded scaffolds.” Poster pres. Biol & Medicine through Mathematics Conference. Richmond, VA. May 2017.
AWARDS & HONORS
National Science Foundation Graduate Research Fellowship (Fall 2013 - Spring 2018), Ralph W. Veatch Award for Outstanding Academic Achievement in Mathematics (Spring 2013), National Merit Scholar (2009-2013), Presidential Scholar (Academic scholarship at The University of Tulsa) (2009-2013), The 1A Faculty Athletics Representatives (FAR) Academic Excellence Award for success in academics and athletics (2009-2013, NCAA DI Cross Country and Track & Field Athlete), Byrd Scholar (2009-2011)