2nd Winter School on AI and Finance: 2026

An intensive 6-day program exploring the intersection of Probabilistic Artificial Intelligence and Financial Engineering

December 14-19, 2026
Students, Researchers & Practitioners

Topics to be Covered

The AI and Finance winter school will give participants an exposition to basic topics/concepts in finance while covering important techniques from AI that are used in financial engineering. The school will be of interest to students, researchers and practitioners who want to learn about the intersection of AI and Finance.

Risk-Sensitive Multi Armed Bandits

Exploration and exploitation under uncertainty, with risk-aware decision making and reward optimization, fundamentals of Heavy Tail distributions

Kernel Methods

Kernel functions, feature spaces, SVMs and Gaussian processes

Brownian Motion and Stochastic Calculus

Brownian motion, Itô calculus, Stochastic Differential Equations, and applications

Pricing of Options and Derivatives

Financial instruments and portfolios, portfolio theory, option pricing, and risk measures

RL for Finance

Reinforcement learning for portfolio optimization, time series modeling, and leveraging AI in securitized products

Prerequisites

Basic knowledge of Probability, Statistics, Linear Algebra, Optimization. The program is suited for 2nd year engineering and above. For reference, you can look at the last year's program here: Winterschool 2025

Speakers

Learn from distinguished experts in AI and Finance from leading academic institutions and industry organizations.

More speakers will be added once confirmed.

Keynote Speakers

Distinguished keynote speakers who will deliver inspiring presentations on cutting-edge topics in AI and Finance.

Schedule

To be announced

Registration Details

There are two modes of registration for the Winter School:

Mode of Registration Fee (excluding GST) Eligibility Register
With Accommodation ₹6,000 Selective — limited seats
Open only to students
Apply Here
Deadline: 21 Oct
Results by: 31 Oct
Without Accommodation ₹4,000 Students, Faculty & Postdocs
Registrations without accommodation are currently paused and will resume in the 1st week of November.
Keep checking this page for updates.
₹8,000 Industry participants

Important Information

  • Registrations are now live!
  • All the registrations cover breakfast, lunch and dinner.
  • Registration with accommodation is selective and limited to students; selected candidates will be intimated separately.
  • Registration without accommodation is open to everyone and processed on a first-come-first-served basis.
  • Fees listed above are exclusive of GST.

Contact Information

For inquiries and more information about the winter school, please contact the organizers:

Local Coordinators

B. Radha Krishna, IIIT Hyderabad

Contact Information

Venue

Address: C R Rao Road, Gachibowli, 500032