Mentor Program



Event Details

Date

Time

Event

Venue

21 May 2017 7:30 pm – 9:00 pm Networking Cocktail Gardenia
24 May 2017 5:30 pm – 7:00 pm Master Class Part I Hibiscus II & III
25 May 2017 2:00 pm – 5:00 pm Master Class Part II Azalea II & III

Networking Cocktails

21 May 2017, Sunday

7:00 pm Registration
7:30 pm Welcome Remarks by Professor Bernard Yeung
Dean and Stephen Riady Distinguished Professor in Finance and Strategic Management
National University of Singapore
President, Asian Bureau of Finance and Economic Research (ABFER)
7:35 pm Introduction by:
Professor Steven J. Davis
William H. Abbott Professor of International Business and Economics, University of Chicago Booth School of Business
Exco Member & Senior Fellow, Asian Bureau of Finance and Economic Research (ABFER)

Professor Renée Adams

AGSM Scholar, Professor of Finance, Commonwealth Bank Chair in Finance, University of New South Wales
Exco Member & Senior Fellow, Asian Bureau of Finance and Economic Research (ABFER)
7:45 pm Enjoy your networking!
9:00 pm End

Machine Learning for Applications in Economics and Finance

24 May 2017, Wednesday

5:15 pm Registration
5:30 pm Master Class Part I by Professor Matt Taddy
7:00 pm End

25 May 2017, Thursday

1:45 pm Registration
2:00 pm Master Class Part II by Professor Matt Taddy
5:00 pm End

Professor Matt Taddy

Professor of Econometrics and Statistics, University of Chicago
Principal Researcher, Microsoft Research


Matt Taddy joins Microsoft Research from the University of Chicago, where he is Professor of Econometrics and Statistics at the Booth School of Business and a fellow of the Computation Institute. He leads MSR’s Alice project on Economic AI. Read More


Supported by









Dress Code for this event is Office Attire.

Please also note that the event will be governed by the 'Chatham House Rule'.

*In support of global green initiative there will not be printed conference materials. The papers will be linked to the Program when they are received.


Contact Information

Program

Program Directors

Conference Organizer

International Macroeconomics, Money & Banking

Takeo Hoshi (STANFORD)
Program Director
tkohoshi@stanford.edu

Andrew Rose (UC BERKELEY)
Program Director
arose@haas.berkeley.edu

Sumit Agarwal (GEORGETOWN)
Conference Organizer
ushakri@yahoo.com

Giorgio Valente (HKMA)
Conference Organizer
giorgio.valente@icloud.com

Corporate Finance

Randall Morck (ALBERTA)
Program Director
rmorck@ualberta.ca

Kang Jun-Koo (NTU)
Program Director
jkkang@ntu.edu.sg

Angie Low (NTU)
Conference Organizer
aaclow@ntu.edu.sg


Kasper Nielsen (HKUST)
Conference Organizer
nielsen@ust.hk


Yupana Wiwattanakantang (NUS)
Conference Organizer
bizyw@nus.edu.sg

Investment Finance

Massa Massimo (INSEAD)
Program Director
Massimo.MASSA@insead.edu

Allaudeen Hameed (NUS)
Program Director
allaudeen@nus.edu.sg

Roger Loh (SMU)
Conference Organizer
rogerloh@smu.edu.sg


Qian Wenlan (NUS)
Conference Organizer
bizqw@nus.edu.sg


Hong Zhang(TSINGHUA)
Conference Organizer
zhangh@pbcsf.tsinghua.edu.cn

 
Economic Transformation of Asia

Ping Wang (WUSTL)
Program Director
pingwang@artsci.wustl.edu

Wei Shang Jin (COLUMBIA)
Program Director
shangjin.wei@columbia.edu

Davin Chor (NUS)
Conference Organizer
ecschpld@nus.edu.sg

Michael Song (CUHK)
Conference Organizer
zsong@cuhk.edu.hk

 
Accounting

Ke Bin (NUS)
Program Director
bizk@nus.edu.sg

Douglas Skinner (CHICAGO)
Program Director
dskinner@chicagobooth.edu

Hai Lu (SMU)
Conference Organizer
hailu@smu.edu.sg

Haifeng You (HKUST)
Conference Organizer
achy@ust.hk

 

Matt Taddy joins Microsoft Research from the University of Chicago, where he is Professor of Econometrics and Statistics at the Booth School of Business and a fellow of the Computation Institute. He leads MSR’s Alice project on Economic AI.

Taddy works at the intersections of statistics, economics, and machine learning. His research is directed towards development of new algorithms for machine learning, uncertainty quantification for these algorithms, and incorporation of artificial intelligence into the study of social and economic systems. Recent projects include optimization for complex demand and incentive systems, analysis of the polarization of political dialogue, and development of artificial intelligence for questions of causation.

Taddy developed and teaches the Big Data class at Booth, an advanced MBA course that is designed to prepare students for careers at the interface of business strategy and Data Science. He has collaborated extensively with national laboratories, a variety of start-up ventures, and was a research fellow at eBay from 2014-2016. He earned his PhD in Applied Mathematics and Statistics in 2008 from the University of California, Santa Cruz, as well as a BA in Philosophy and Mathematics and an MSc in Mathematical Statistics from McGill University. He joined the Chicago Booth faculty in 2008 and Microsoft in 2016.

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