Talks and presentations

I'm passionate about public speaking and making complex ideas accessible. Through presentations at academic conferences, entrepreneuship showcases, and research symposiums, I've developed expertise in communicating technical findings as well as business ideas to audiences ranging from domain experts to general audiences over the past few years.

InkSight: Inspiring All Learners using AI

April 01, 2024

Entrepreneurship Showcase, Cornell Tech Entrepreneurship Showcase, New York City Metropolitan Area

Presented InkSight AI, an AI-driven accessible note-taking platform for STEM students with disabilities, at the 2024 Cornell Tech Entrepreneurship Showcase. The presentation highlighted how InkSight uses AI to improve lecture accessibility for blind/low-vision, hard-of-hearing, and neurodivergent learners; market opportunities, and more. I also connected with investors and industry executives at the event for fundraising.

Option Pricing with Stochastic Volatility, Equity Premium, and Interest Rates

January 05, 2024

Research Presentation, Joint Mathematics Meeting (JMM), San Francisco, California

Presented research on formulating and deriving new parabolic partial differential equations using stochastic differential equations, replicating portfolio theory, and risk-neutral pricing to model time-varying volatility, equity premium, and interest rates in a complete market. Implemented finite difference schemes in MATLAB for European and barrier option pricing.

Option Pricing with Stochastic Volatility

August 20, 2023

Conference Talk, Young Mathematicians Conference (YMC), Columbus, Ohio

Presented research on stochastic partial differential equations for option pricing. Selected from 250+ applicants and 60+ presenters for this recognition.

Financial Mathematics: Stochastic Models for Option Pricing

July 28, 2023

Research Presentation, Consortium of Summer Undergraduate Research Experiences (CSURE), Columbus, Ohio

Presented summer research on stochastic partial differential equations and numerical methods for option pricing. Discussed the implementation of finite difference schemes (Forward Euler, Backward Euler, Crank-Nicolson) and their application to pricing European and barrier options.

Solar Flare Classification using Machine Learning

April 15, 2023

Conference Talk, Rochester Symposium for Physics Students (RSPS), Rochester, New York

Presented research on detecting and classifying solar flares in high-resolution solar spectra using supervised machine learning techniques. Discussed the development of a full data pipeline including PCA dimensionality reduction and SVC model optimization.

Supervised Machine Learning for Solar Flare Classification

March 15, 2023

Symposium Talk, Cornell University Exoplanet Symposium, Ithaca, New York

Presented research on supervised machine learning methods for detecting and classifying solar flares, with implications for exoplanet research and stellar contamination modeling.

Using Supervised Machine Learning to Detect and Classify Solar Flares

January 20, 2023

Conference Presentation, Conferences for Undergraduate Women in Physics (CUWiP), Ithaca, New York

Presented early research findings on machine learning approaches for solar flare detection and classification in high-resolution spectra at Cornell’s CUWiP conference.

Detecting Solar Flares in High-Resolution Spectra using Supervised Machine Learning

August 20, 2022

Research Symposium, Nexus Research Scholars Symposium, Ithaca, New York

Presented summer research findings from the Nexus Research Scholars program on using supervised machine learning to detect and classify solar flares in HARPS-N spectra. This work was conducted under the supervision of Prof. Ray Jayawardhana and Dr. Laura Flagg.