used statistics and machine learning algorithms to identify factors that correlated with U.S. COVID-19 mortality, building off of a recent study from the Harvard T.H. Chan School of Public Health.
In Charlotte, Reid Brown
worked at CreativeCo,
a growth equity studio that invests capital and accelerates software development within start-ups.
worked virtually with a team from the Vanderbilt Initiative for Data-Intensive Astrophysics
in Nashville, Tennessee to analyze light curve data collected by the Transiting Exoplanet Survey Satellite (TESS).
worked on analyzing spectroscopic telescope data using Python at UCSC
and also worked on manufacturing simulation and optimization at KAIST
worked virtually in the human motion sector of Dartmouth Reality and Robotics
where she developed a program in Python using OpenCV to track simple planar hand movements in front of a computer and give real-time on-screen feedback.
Ellie La Voie
worked at Scharschmidt Lab at UCSF
in San Francisco where she studied the characterization of Mucosal-Associated Invariant T-cells cells in human skin by flow cytometry.
worked in the artificial intelligence branch of the Research and Development Department at CCC (Certified Collateral Corporation)
in Chicago, a company which connects the auto industry through data, software, and intelligence.
In West Palm Beach, Florida Isabella Pargiolas
worked at EXUMA Biotech
, a clinical-stage biotechnology company developing Chimeric Antigen Receptor (CAR)-T cell products.
collaborated with SPS Alum Dr. Jeffrey Townsend ('90), at the Yale School of Public Health
, on cancer biostatistics for oncogenic mutations.
worked with the Laboratory for the Mechanics of Advanced Materials at NJIT
to analyze data relating to rubber-like polymer materials.
used additive manufacturing to create realistic anatomical models from CT Scans
worked with Dr. Sherman Lo of the Stanford Aeronautics & Astronautics GPS Laboratory
, collecting and analyzing data for the development of a new satellite marine tracking tag.