Jasmine Wang Email & Phone Number

- Developing a support vector machine (SVM) machine learning model to classify treated and untreated synapse distributions, achieving promising classification results, such as cross-well prediction accuracy. - Developing and optimizing Bayesian network inference models to interpret high-dimensional multiplexed imaging data from synaptic proteins- Conducting immunostaining, bacterial transformation, and cloning to visualize neuron subtypes and evaluate plasmid viability, enhancing data collection for SVM training and expanding understanding of synaptic networks in relation to psychiatric disorders such as autism spectrum disorder and schizophrenia.

Pasadena, California, United States

- Measuring histological spiking data of neurons firing in a mouse's brain with Neuropixel probes and developing models to decode visual and behavioral parameters in freely moving mice using Python and machine learning (DeepLabCut).- Implementing advanced imaging techniques including epifluorescent microscopy and histology to reconstruct the trajectory of probes through the brain- Conducting statistical and computational analysis to determine significant visual responses and integrative properties of superior colliculus neurons, contributing to the understanding of sensory input processing during hunting behaviors in mice.- Was the Franz and Anne Nierlich SURF Fellow in the Meister Lab in June - August 2023.

- Trained neural operators to model and predict flow patterns of symmetric and asymmetric airfoils and cylinders (i.e. NACA 0012 and NACA 4415) to anticipate wind flow and turbulence for drones.- Developed and implemented a working dye visualization system for observing important flow phenomenon in a free-surface water tunnel to predict flow development.- Presented research to top aerospace researchers and technicians in the Gharib Research Group and other peers at Caltech.

- Guided campers to collaborate mathematically and creatively on higher level math competition problems (i.e. Putnam, IMO, USAMO, AIME, AMC, etc.). - Arranged and managed research studies to evaluate connections between traditionally non-mathematical activities (i.e. billiards, origami, music) and mathematics.- Also held this position in June of 2021.

- Analyzed fluid dynamics effects on mooring systems using Excel, QMOOR, and MS-DOS for enhanced precision.- Designed and developed innovative mooring line systems for patented floating wind turbine technology.- Conducted data analysis and compiled insights from academic interviews, presenting findings on startups, offshore engineering, and wind turbines to peers for educational enhancement.

- Developed and implemented advanced curriculum strategies that enabled students to accelerate their learning and skip a grade in mathematics, integrating computational thinking and problem-solving skills.- Facilitated peer-to-peer learning and code reviews by encouraging students to present their problem-solving processes, fostering a deeper understanding of mathematical concepts and computational logic.

- Initiated a new approach towards solving the Jones Unknot Conjecture - instead of using brute force, simplifying the Jones polynomial of the nontrivial knot down to what it would be if it were to equal the Jones polynomial of the unknot.- Proposed and tested a relationship between fully augmented links and petal projections in topology.- Presented research to mathematics professors and other peers at the annual HSMC Research Symposium.

- Developed and maintained a website (staturecalc.com) that featured an anthropological calculator aimed to decrease inaccuracies when estimating forensic stature by revitalizing out of date equations.- Consolidated forensics resources after identifying a lack useful learning materials online.

- Conducted a project which used R to build a mathematical model to statistically identify at-risk populations under COVID-19.- Helped medical organizations and government agencies better distribute resources during the pandemic.- Liaised with top epidemiologists and doctors internationally to enact and execute national policies aimed towards combating the COVID-19 pandemic.- Invited to present mathematical epidemiology research on coronavirus risk disparities in Texas at UT Austin COVID-19 Modeling Consortium.

Mathematics

Education record