Drake Adams will work virtually with OneRadio out of Seattle, Wash., to analyze test signals from their prototype receiver module which is known for its high dynamic range.
Tristan Brigham will use machine learning algorithms and breakthrough quantum circuitry to design error-corrected quantum bits as part of the AAIM lab under Azimuth Corporation. Also, Tristan will use his programming skills in Java, C, Rust, and Python to develop the software which allows NYU Secure System Laboratory’s Lind to run on Linux machines.
Zoe Demers will be using data science and microeconomic research to understand how the online real estate technologies, such as Vrbo, HomeAway, and Zillow, are affecting e-commerce and the real estate economy with Dr. Ellison at MIT.
Logan Gamlin will be working on analyzing TESS mission light curve data produced from three different pipelines with a team from Vanderbilt Initiative for Data-Intensive Astrophysics.
Ellie Hanson will work at Nuance Communications, a Boston-based software technology company that specializes in speech recognition and AI in the medical industry.
Ciaran Henry will work with Professor Nir Krakauer to analyze trends in heat and humidity, using the Integrated Surface Database at CUNY.
Charlotte Kinlin will work in the Applied Biomechanics Lab at the University of Colorado, Boulder, where she will study the effects of running specific prosthetic stiffness on the metabolic cost and symmetry of female runners.
Caroline Light will study at Georgetown University focusing on targeted protein therapy as a treatment for Ewing Sarcoma.
Jenna Malone will work with OMEGA Venture Partners and the Center for Collective Intelligence at MIT to research the impending AI revolution and learn how to capitalize on new and innovative technological solutions.
Avery will be working at the NASA Jet Propulsion Laboratory to detect exoplanetary magnetic fields through cyclotron radiation. Additionally, she will categorize galaxy morphologies using Python at UMass Amherst.
Kyle Pellerin will be working at the IDEAS lab at Northwestern this summer, where he will be working to create more energy efficient HVAC systems using deep reinforcement learning coupled with other machine learning strategies.
David Yan will develop an in-pipe leakage detection robot system at MathEarth, Inc. at Acton, Mass. in collaboration with the MIT Mechatronics Research Laboratory.