Name: QuantUniversity Winter School 2021
Start: 2021-01-05T11:00:00-05:00
End: 2021-03-23T11:00:00-04:00
Location: Online

QuantUniversity Winter School 2021

July

2020

-

September

2020

Register to get an invitation

Coming Soon QuantUniversity Spring School 2021

www.quantuniversity.com

QuantUniversity AI/ML Winter school 2021 Lecture series

Lecture1: January 20th, 2021

Introduction to Generative Modeling Using Quantum Machine Learning

Dr.Luis Serrano, Zapata Consulting

Lecture2: January 27th 2021

Winter School 2021 Kickoff +

10 things you need to know about ML in Finance

Sri Krishnamurthy, CFA

Lecture3: February 3rd, 2021

What To Do When AI Fails: AI Incident Response

Patrick Hall, BNH.AI & George Washington University

Lecture4: February 10th, 2021

AI and Interpretability in Machine Learning

Dr.Anupam Datta, Truera & Carnegie Mellon University

Lecture5: February 16th, 2021

Explainability of Supervised Machine Learning

Nadia Burkart, Fraunhofer IOSB

Dr. Marco Huber, University of Stuttgart

Lecture6: February 23rd, 2021

Hilbert Space Kernel Methods for Machine Learning: toward a standardization

Dr.Daniel Duffy, DATASIM EDUCATION BV

Dr.Jean-Marc MERCIER, MPG Partners

Lecture7: March 3rd, 2021

Machine Learning: Considerations for Fairly and Transparently Expanding Access to Credit

Dr.Raghu Kulkarni, Discover Financial Services

March 10th, 2021

Pragmatic Algorithm Auditing

Sri Krishnamurthy, QuantUniversity

March 17th, 2021

Innovations in Model Risk Management

Jon Hill, NYU

Krishna Gade, Fiddler

March 24th, 2021

Machine Learning for Time Series Forecasting with Python

Dr. Francesca Lazzeri, Microsoft & Columbia University

March 31st, 2021

Alternative Data in Investment Management

Petter Kolm, New York University

Speakers

Patrick Hall

BNH.AI & George Washington University

Daniel Duffy

Datasim Education BV

Nadia Burkart

Fraunhofer IOSB

Luis Serrano

Zapata Computing

Anupam Datta

Truera & Carnegie Mellon University

Raghu Kulkarni

Discover Financial Services

Dr. Marco Huber

University of Stuttgart

Jean-Marc Mercier

MPG Partners

Jon HIll

New York University

Krishna Gade

Fiddler

Dr.Francesca Lazzeri

Microsoft & Columbia University

Dr.Petter kolm

New York University

Sri Krishnamurthy,CFA

QuantUniversity

Three Courses in Data Science, Machine Learning and Model Risk Management

^{_{1. Just Enough Python for Data Science}}

^{_{2. Machine Learning and AI for Financial Professionals}}

^{_{3. Model Risk Management for Machine Learning Models}}

+

10 FREE Lectures from Quants, Innovators and Thinkers to kick off a summer of learning!

This year, QuantUniversity has partnered with PRMIA to offer Continuing Risk Learning Credits for the QU School Course participants

QuantUniversity Summer School 2020

Course offerings

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Qu Speaker Series 2020

Talks by Quants, Innovators and Thinkers

^{_{We are honored to invite eminent quants, thinkers and innovators to lead 10 FREE lectures as a part of the Qu Speaker Series. Join us for an exciting summer!}}

Dr.Reha Tutuncu

Point 72

Reha leads portfolio construction efforts at Point 72. He is an expert in factor investing and optimization techniques and is a co-author of the book - Optimization in Finance

Sri Krishnamurthy

QuantUniversity

Sri is the founder of QuantUniversity and researches and teaches machine learning and model risk and fintech related topics at QuantUniversity and Northeastern University

Dr.Joseph Simonian

Autonomous Investment Technologies

Joseph is a co-editor of the Journal of Financial data science and is an expert in applying machine learning and model validation.

Dr.Agus Sudjianto

Wells Fargo

Agus leads corporate Model Risk efforts at Wells Fargo. He is a renowned expert in applying machine learning to quant models

Tony Guida

Ram Active Investments

Tony leads quant research efforts at Ram Active Investments. He is the co-author of the upcoming book- Machine Learning for Factor investing

Dr.Matthew Dixon

Illinois Institute of Technology

Matthew teaches Mathematical finance, Machine learning and related topics at IIT and is a co-author of the upcoming book- Machine Learning in Finance

Dr.Igor Halperin

Fidelity Investments

Igor leads AI research efforts at Fidelity and also teaches Financial Machine Learning at NYU. He is the co-author of the upcoming book- Machine Learning in Finance

Dr.Paul Bilokon

Imperial College, London

Paul teaches Mathematical finance, machine learning etc. and is the founder of Thalesians. He is the co-author of the upcoming book- Machine Learning in Finance

Dr.Jörg Kienitz

Quaternion

Jörg is a partner at Quaternion Risk Management. He is working on applying machine learning in finance with a focus on model risk. He has authored many books on Financial modeling. Jorg teaches at the University of Wuppertal

Jennifer Jordan

EIR at Techstars

Jennifer is an EIR at Techstars and works with startups in the AI/ML space and has interests in AI explainability, bias mitigation and fairness

Ben Steiner

BNP Paribas Asset Management

Ben is an expert in the application of machine learning and model risk management for investment firms. He also teaches risk management at Columbia University

The 2016 Mobile Ad Summit will take place in the Penthouse suite of The Georgia Center Hotel, which is conveniently located in the heart of Atlanta. Sign in at the registration desk and head up to the top floor.

Course participants

OCC, Federal Reserve Bank, Deloitte Consulting, Federal Home Loan Bank of Chicago, UBS, US Bank, LeggMason, KDPW, ING, Wells Fargo,UBS, Genpact, Commonwealth Bank of Australia, Lusitania, American Family Insurance, and many more from 13+ countries

In addition, QuantUniversity offered 53 scholarships to participants of the PRMIA risk management challenge in May worth $30,000 to support learning in universities especially in these challenging times of #covid19. See our announcement on this -> here

#quWinterschool2020

About our partners

What our Participants are saying

"The examples of applications of the concepts in the world of Finance which is something which comes to mind at first. This is missing from other courses. The concept of labs on Qu.Academy are very good since it helps to start off with the coding of concepts."

QuantUniversity

QuantUniversity (www.quantuniversity.com) is a quantitative analytics and machine learning advisory based in Boston, Massachusetts. QuantUniversity runs various data science and machine learning workshops in Boston, New York, Chicago, San Francisco and online through www.qu.academy. The company offers an Analytics Certificate Program and the Fintech Certificate program along with multiple workshops in its Explore-Experience-Excel series.

Contact us at info@qusandbox.com

Join us for the QU Winter School and Speaker Series

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