She/Her
RPI Degree Program: COGS | Cognitive Science BS + CSCI | Computer Science BS (Dual Major)
Hometown: Edison, NJ
Biography: My name is Bhoomi Patni, and I am pursuing a Bachelor’s degree in Cognitive Science and Computer Science at Rensselaer Polytechnic Institute. I chose this interdisciplinary path because it combines my passion for understanding the human mind with my interest in building intelligent systems. To me, Cognitive Science provides the foundation for exploring how people think, learn, and make decisions, while Computer Science equips me with the technical tools to model, simulate, and create technologies that enhance human capabilities.
My academic journey has been shaped by experiences that bridge psychology, data science, and programming, from research on memory and decision-making to coursework in artificial intelligence and software development. These opportunities have strengthened my problem-solving skills and fueled my curiosity about designing technology with a human-centered perspective. Beyond academics, leadership roles in organizations have taught me how to balance responsibilities, manage commitments, and grow through collaboration. I aspire to work in fields that combine artificial intelligence and human cognition, creating technologies that are not only powerful but also meaningful in people’s lives.
Clubs & Organizations: Secretary of RPI Association of Computing Machinery - Women, Choreography Captain for RPI Rounak, Secretary of RPI Girls Who Code, RPI Society of Women Engineers, Alpha Gamma Delta
Goals: After completing my undergraduate degree, I plan to pursue a full-time role in the Artificial Intelligence and Machine Learning field. I am especially interested in positions that combine technical development with a human-centered approach, applying AI to areas like technology or healthcare where it can make a meaningful impact. My goal is to contribute to innovative projects that bridge human cognition and intelligent systems. In the future, I am also open to pursuing a Master’s degree to further deepen my expertise in AI/ML.
Undergraduate Research: My project is a Python-based simulation of the Monty Hall Problem, developed under the supervision of Professor Bram Van Heuveln in the Cognitive Science Department. I am using machine learning techniques to create an interactive, data-driven tool that helps students better understand probability concepts. This simulation is designed to let users experiment with different strategies, visualize outcomes, and gain intuition about the counterintuitive nature of probability. Through this project, I have gained experience in research design, programming, and applying computational methods to cognitive science education.
Advice for Incoming Freshman: My advice for incoming freshmen is to be open and try everything—this time in your life only comes once, so make the most of it. Explore new classes, clubs, and experiences, and don’t be afraid to step outside your comfort zone. At the same time, learn how to manage your time and balance academics, activities, and personal life to get the most out of your college experience.