About Me

I am a current Computer Science and Math student at Barnard College. I am a research assistant at The GILMLab under Professor Corey Toler-Franklin. I focus on the interdisciplinary applications of deep learning. In particular, I develop novel transformer models to extract temporal patterns for long-horizon time series predictions

More recently, Most recently, I’ve interned as a Backend Engineer at MESH AI (Harvard Medical School), where I’m building infrastructure to support dynamic LLM integration for real-time clinical simulations.

Outside of academics, I enjoy exploring historic homes and gardens. I have an ongoing list of gorgeous homes in the Northeast and make it my personal mission to explore as many as I can. The math nerd in me loves tackling optimization puzzles, especially when it comes to mapping the most efficient route to the next latte flavor I haven’t tried.

Core Beliefs

  • Innovation Icon

    Innovation

    I am naturally curious and push myself to further technological advancements using ideas and principles in other specializations and fields.

  • Knowledge Icon

    Love of Learning

    I love the learning process and have a passion for working on extremely difficult problems that push myself to grow as an engineer.

  • Accessibility and Inclusion

    I actively work that make STEM accessible and inclusive for people of all backgrounds by working with and learning from organizations like Tapia, Girls Who Code, and Physics Van.

Interdisciplinary Skills

I thrive at the intersection of data, insight, and impact. I'm always looking for opportunities to contribute to data-driven teams in finance, research, or technology..

  • Computer Science
  • Business
  • Mathematics
  • Neuroscience
  • Problem Solving

My technical background is inherently interdisciplinary. As a student of mathematics and computer science at Barnard College, I’ve complemented my formal education with hands-on research in neuroscience, transformer architecture, and backend development. I’ve also explored business strategy through entrepreneurial experience and academic coursework. This diverse foundation has trained me to approach problems from multiple angles — whether that means writing optimized code, interpreting neural signals, or uncovering trends in financial data. It’s also fueled my curiosity and love for learning, allowing me to thrive in environments that demand adaptability, critical thinking, and cross-functional collaboration.

My Resume and Research Experiences

Contact me

Address
Barnard College of Columbia University • New York, NY 10027 • USA
Phone
(914) 498-5866
Email
mpmolina2026@gmail.com
mpm2212@barnard.edu

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