Ryan Whalen

About

Hello there! Hope you're doing well, and thank you for stopping by my page. My name is Ryan, a first-year at Harvard, studying Statistics and Applied Mathematics, with concentrations in Computer Science and Economics. Outside of classes, I'm interested in history, critical literature, and government/international relations!

Hailing from San Antonio, Texas (and, before that, Boston, Massachusetts), I've come to really enjoy all activities that these contrasting weather climates have offered me—from Winter morning snowball fights and colored leaves gathering during Fall to Summer afternoon mountain biking and Spring flower-collecting.

Ryan Whalen professional headshot

Currently, I'm working as a Quantitative Research/SDE Intern at Synthex Technologies, where I'm assisting the team in building out their Monte Carlo-XGB ensemble prediction model and parameterized NLP-parser. Additionally, I'm also a member of AI4ALL's IGNITE cohort, leading a project on creating transparency-centered AI documentation, specifically in FinTech/GovTech fields.

In school, I am part of two research labs led by Emily Silcock (Ph.D.)—building an LLM-ready global culture dataset on media and social indicators and Guihong Wan (Ph.D.)—aggregating research and developing a multi-input RL framework for non-invasive pre-detection of cancer development in cells. I also serve as a member of the board for Harvard University's undergraduate research journal (THURJ) and Vice President of Harvard's Scholars of Finance chapter.

This summer, as part of Harvard's AISST Policy and AISES fellowships, I've been learning more about neural network development in the context of agentic deployment, international regulation, and alignment.

Running Projects/Pursuits

Interned at R42 Institute, where I helped portfolio companies with SWE/SDE-related tasks such as database management, parameterizing LLMs, and general debugging.

Interned at Orient Securities, where I helped the FICC/FX team develop a centralized productivity and communication platform.

Working on FinanTerm, a personal equities/index simulation platform using public sentiment analysis and AI-integrated quantitative calculation, and GaiaSearch, an all-in-one due diligence and sourcing platform for climate tech startups.

Assisting Perplexity, Tavily, and Warp with GTM strategies, business development, and marketing campaigns.

Assisted with front-end development of TurnUp Activism's mobile app—ranked on Forbes in 2022 as one of the fastest growing mobile apps nationwide for activism.