Implemented machine learning algorithms such as Neural Nets, Naive Bayes, and Random Forest in Python to classify trials from clinicaltrials.gov into trustworthy or untrustworthy. Mentored by Dr. Glusman (Hood Lab) via NIH NCATS Biomedical Translator Consortium. Used Unix command line, SQL, and Git for version control. Performed dimension reduction including PCA and UMAP.
Performed quality control and data validation using analytical instruments in the Cell and Genetic Therapies Department to ensure a novel Type 1 Diabetes device operates properly. Utilized Laboratory Information Management Systems (LIMS) to track QC data, followed SOPs and GMP to maintain compliance. Led a lab optimization project, presenting findings and recommendations to management for improved efficiency and safety.
Collaborating with the Center for Success nonprofit on statistical analysis using natural language processing (NLP) and Likert scale analysis to assess student literacy program impact. Focused on making code reproducible with my group of 4 using GitHub. Used R for data visualization, data wrangling, and analysis to present to nonprofit directors.
Collaborated with a team of 5 researchers in Dr. Waldow's group to develop a solid polymer electrolyte to improve the safety and sustainability of Lithium-ion batteries. Presented results at the National American Chemical Society conference in Indianapolis in a selective Sci-Mixer poster event recognizing exceptional abstracts, and also gave a 30-minute oral presentation.
I have experience teaching undergraduate students in statistics and biology, designing coursework, leading discussions, and helping students build a strong scientific foundations.
University of Michigan, Ann Arbor, MI.
Teach discussion sections for 40 students taking Introduction to Statistics for Social Sciences to guide them in building a foundation in statistical concepts and data interpretation.
Prepare biweekly lecture review, design weekly practice problems, hold office hours, and provide HW and exam feedback to enrich students learning.
Completed SOC 993: Teacher Training Course, gaining skills in pedagogy & curriculum planning.
Promoted to Head Instructor role September 2025
Bryant University, Smithfield, RI.
Guided students through collaborative laboratory experiments that introduce life processes.
Prepared and graded assignments to provide constructive feedback to students.
Topics include scientific methodology, cells, energy and metabolism, genetics, and ecology.
Mathematics Department, Pacific Lutheran University, Tacoma, WA
Responsible for collecting, grading, and providing accurate feedback on biweekly homework assignments for ~20 students.
Collaborated with professors and adjusted for special course demands due to virtual classes.
Mathematics Department, Pacific Lutheran University, Tacoma, WA
Planned and facilitated virtual, peer-assisted study sessions for precalculus students.
Attended all regularly scheduled class meetings and conducted ~3 one-hour sessions weekly.
Chemistry Department, Pacific Lutheran University, Tacoma, WA
Facilitated laboratory classes to assist students’ learning and maintain a safe lab environment.
Developed and led weekly tutoring sessions to improve students’ understanding.
Advancement Via Individual Determination (AVID), Tacoma, WA
Facilitated small group tutorial sessions for middle and high school students in science and math.
Led college prep activities with this nonprofit that aims to close opportunity gaps for underrepresented students.
Presented a 1-hour research seminar in Spanish at the National Institute of Public Health of Mexico (INSP) on estimating the average treatment effect of prenatal bisphenol A (BPA) exposure on infant birth weight. Applied causal inference methods such as g-estimation to analyze environmental exposure data from the ELEMENT cohort study.
Implemented machine learning algorithms (Neural Nets, Naive Bayes, Random Forest) in Python to classify clinicaltrials.gov studies as trustworthy or untrustworthy. Mentored by Dr. Glusman (Hood Lab) via NIH NCATS Biomedical Translator Consortium. Used Unix command line, SQL, and Git for version control, and applied dimension reduction methods including PCA and UMAP.
Performed PCA to detect patterns in Iraqi migration data for the UN International Organization for Migration.
Unveiling Total Cholesterol Levels: Insights into key factors.
Skin α-Synuclein Aggregation Seeding Activity as a Novel Biomarker for Parkinson Disease.
Novel solid polymer electrolyte for lithium ion batteries.
Collection of proofs showcasing mathematical rigor and creativity.
Collaborated with the Center for Success nonprofit using R and NLP to evaluate literacy program impact. Produced reproducible analysis and presented findings to nonprofit directors.
Conducted summer computational study with Dr. Jenekhe’s lab at the University of Washington using Density Functional Theory (DFT) modeling to investigate the electronic structure of organic materials for electronic devices. Selected from a competitive national applicant pool.