worked virtually with OneRadio
out of Seattle, Wash., to help automate the startup procedures of their high dynamic range receiver and its applications.
used Python-based machine learning algorithms to design circuits for testing quantum error correction on within the AAIM Lab
while also utilizing his newfound artificial intelligence skills to create projects using cutting-edge computer vision, text recognition, and error detection strategies. Furthermore, Tristan used his programming skills in Rust and C to continue development of the NYU Secure System Laboratory's
Lind framework while preparing the project for its final testing phases which he will initiate in his capstone.
worked with an MIT
microeconomics research team to analyze how new e-commerce platforms, such as AirBnb and Zillow, have affected the trajectory of the U.S. real estate market.
worked this summer to analyze known transiting exoplanets and TESS candidate exoplanets using AstroImageJ in collaboration with Ms. Warner at the University of Maryland
worked at Nuance Communications
, testing virtual assistants and other voice recognition software in the medical industry with Java, Silk Central, and Agile methodology.
worked with Professor Nir Krakauer at the City College of New York
to model climate trends in the Northeastern area with RStudio, using data from the Integrated Surface Database.
worked in the Applied Biomechanics Lab at the University of Colorado, Boulder
, where she studied the effects of running specific prosthetic stiffness on the metabolic cost and symmetry of female athletes with a trans-tibial amputation.
worked at Georgetown University
studying the mechanisms of a targeted protein-protein interaction inhibition-based cancer therapy developed for Ewing Sarcoma.
spent her summer working with OMEGA Venture Partners
and the Center for Collective Intelligence at MIT
. At OMEGA, she analyzed early growth AI companies as potential investment opportunities. At MIT, she researched "Superintelligence," or the theory that human-computer groups are more efficient than either group alone.
worked at the NASA Jet Propulsion Laboratory
and detected the magnetospheres of super-earths through electron-cyclotron maser emission from super-earths in python. Additionally, she worked at UMASS Amherst
and used galactic morphological classifications to analyze galactic data in python.
worked at the IDEAS lab at Northwestern
this summer, where he collaborated a team focused on creating more energy efficient HVAC systems using deep reinforcement learning coupled with other machine learning strategies.
worked at MathEarth, Inc.
at Acton, Mass. to develop an in-pipe leakage detection robot system in collaboration with the Mechatronics Lab at MIT, he also helped with the implementation of a pressure GIS leakage detection system in LinGang, Shanghai.