Professor zoro’s guests discussed the project they have been working on since 2024: Corporate Material Event Sequences with LLMs3 and associated sentiment scores (Historical and Real-Time with Forecasts).


https://www.linkedin.com/in/patrick-z-08bb5b5a/

https://www.linkedin.com/company/lehigh-master-in-financial-engineering/

Lehigh MFEs shared their experience and views on LLMs and Deepseek with Professor Zoro who manages Lehigh MFE program: https://business.lehigh.edu/academics/graduate/masters-programs/ms-financial-engineering

Fathmat Bakayoko is a MFE, working on extracting insights from SEC 8-K filings using language models and exploring crypto compliance.  www.linkedin.com/in/fathmat-samira-bakayoko-30715024a."

Nicholas Wagner is a MFE co-founded lab automation company Opentrons Labworks and works on blending quantitative finance with Natural Language Processing (NLP) and Large Language Models (LLMs). He sees these emerging technologies as catalysts for data-driven breakthroughs in capital markets.
https://www.linkedin.com/in/nicholas-wagner-b7b743229/

Hariom Tastat is an MFE and  Experienced quant and leader with expertise in the areas of quantitative research, financial AI/machine learning and derivative pricing.
Co-author of the book “Machine Learning and Data Science Blueprints for Finance”. 
Website: https://htatsat.com/

Corporate Material Event Sequences with LLMs

Damiano Brigo, chair of mathematical finance at Imperial College London, shares his thoughts on the lost causes, the present role and the future prospects of quantitative finance.

Damiano Brigo – 22/01/18

In this podcast excerpt, Ritwik Gupta and Carson Sestili describe deep learning and how it differs from machine learning.  “As you compose more and more non-linear functions together, you can represent a much wider function space than you could with just one non-linear function. That is why deep learning is different from shallow learning. Shallow learning doesn’t compose multiple things together. Deep learning does.”

Deep Learning in Depth: Deep Learning versus Machine Learning

Created by Professor Patrick Zoro The podcast aims to capture the latest trends in Data analytics, Asset Management, Blockchain, Risk Management.

Patrick Zoro is also the program manager of the Master of Financial Engineering program at Lehigh University

https://cbe.lehigh.edu/academics/graduate/master-analytical-finance

Corporate Material Event Sequences with LLMs

The Quant / Financial Engineering Podcast

Related tracks