Computational Biology - Applications of coding languages in complex biological datasets and/or problems
Environmental Microbiology - The evolution of microbes and our co-existence with them
Inter- and Intra- Personal Communication - Conflict Management and Exceptional Relationships
College Course Instruction - Student Well-Being/Well-Becoming and Transition to College
Programming/Software: Python [intermediate], SimBiology [intermediate], R [beginner], SQL [beginner]
Laboratory: SDS-PAGE, ELISA, RNAi, Size Exclusion Chromatography, Auto-Pipetting, Compound Microscopy, Tissue Culturing, Gram Staining, Dissections [Biology and Biochemistry]; Distillation, Synthesis, Solvent Extraction [Organic Chemistry]
Other: Formal Engineering Report Drafting, College Course Teaching and Leadership, Conflict Resolution Techniques, Grading
Coded differential equations (in Python) to fit common epidemiological parameters to real-life COVID-19 pandemic data, assessing model feasibility and expanding current findings.
Group Project, Quantitative Biology II
Trained machine learning to predict heart disease in patient through common indicators such as cholesterol levels, age, and maximum heart rate.
Individual, Introductory Data Science]
Handling live Antarctic Echinodermata collected from diving expeditions; specimens were identified, photo-catalogued, and presevrved for further morphological study through the Natural History Museum, Los Angeles.
Field Study, Dr. Jeff Bozanic, 12/2019]