Education

• Developed Python packages aimed at providing our research to the public

• Completed an honors thesis focusing on a Python GUI for solving bursting gene models

• Taught senior undergraduate engineering students principles in transport phenomena including topics such as pharmacokinetics, fluid dynamics, mass transport, and FEM / FVM analyses.
• Created an engaging and vibrant learning environment by providing real world examples of where taught principles are applied.

• Taught and assisted various levels of student from undergraduate to first year PhD students at the undergraduate quantitiative biology summer school across a myriad of topics: ODE modeling, Machine learning, Python coding, MCMC, stochastic simulation, and finite state projection.
• Generated lecture materials used for teaching students on topics for learning Python, TASEP modelling, and introduction to machine learning. Provided these materials as open source Colab notebooks.
• Designed each year's T-shirts!

• Assited in grading and running office hours.
• Directly supported students' learning by helping with question and answer sessions.

• Gave a 15 minute talk on my dissertation project combining mechanistic mRNA models to extend the color pallette of NCT experiments.
• Presented a poster on my publication "Using mechanistic models and machine learning to design single-color multiplexed nascent chain tracking experiments"

• Gave a 15 minute talk on my dissertation project combining mechanistic mRNA models to extend the color pallette of NCT experiments.
• Presented a poster on my publication "Using mechanistic models and machine learning to design single-color multiplexed nascent chain tracking experiments"

• Talk title: "Combining mechanistic and statistical models to enable Nascent Chain Tracking for multiple mRNAs using a single color"

• Talk title: "Stochastic Simulation Identification Toolkit"

• Presented a poster on my publication "Identification of Potential Riboswitch Elements in Homo Sapiens 5'UTR Sequences using Positive-Unlabeled Machine Learning."

• Presented a poster on my preprint "Identification of Potential Riboswitch Elements in Homo Sapiens 5'UTR Sequences using Positive-Unlabeled Machine Learning."

• Gave a 2.5 minute lightning talk advertising my poster.
• Presented a poster on my publication "Using mechanistic models and machine learning to design single-color multiplexed nascent chain tracking experiments"