Cornell University

This is a past event. Its details are archived for historical purposes.

The contact information may no longer be valid.

Please visit our current events listings to look for similar events by title, location, or venue.

CFEM and UBS AI & Data Research Seminars: Achintya Gopal (Bloomberg)

Tuesday, October 31, 2023 at 6:00pm to 7:00pm

Virtual Event

The second speaker in the CFEM and UBS AI & Data Research Seminars is Achintya Gopal (Bloomberg)! His discussion topic is "Using Graph Neural Networks to Discover Supply Chain Edges." This is sure to be a fascinating and insightful lecture on Tuesday, Oct. 31st!

This webinar is free and open to all. Registration is required (please RSVP). You will receive the webinar link and dial-in info upon registration (the confirmation email will come from no-reply@zoom.us). 

Abstract: One of the key components in analyzing the risk of a company is understanding a company's supply chain. Supply chains are constantly disrupted, whether by tariffs, pandemics, severe weather, etc. In this presentation, I'll discuss how we can use graph neural networks to tackle the problem of predicting previously unknown suppliers and customers of companies and show strong performance in finding these connections by combining the predictions of our model and the domain expertise of supply chain analysts.

Speaker Bio: Achintya Gopal is a Machine Learning Quant Researcher in the Quantitative Research group in the Office of the CTO at Bloomberg, where he works on applying machine learning within the financial domain. Prior to that, he worked on estimating carbon emissions using machine learning, developing new models in normalizing flows, and exploring new methods to evaluate statistical models with model uncertainty. More recently, he has been working on a variety of projects ranging from volatility modeling using neural networks, causal inference for investing, generative models in differential privacy, active learning for NLP, and the interpretability of large language models.

Dial-In Information

To be provided upon registration.

Subscribe
Google Calendar iCal Outlook
Event Type

Financial

Departments

Operations Research and Information Engineering, Cornell Financial Engineering Manhattan (CFEM)

Tags

orie, financial, engineering

Contact E-Mail

rab426@cornell.edu

Contact Name

Roselle Bajet

Speaker

Achintya Gopal

Speaker Affiliation

Bloomberg

Dept. Web Site

https://www.orie.cornell.edu/orie/cfem

Registration Status

Open

Open To

Public

Recent Activity