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Park Sinchaisri - Haas School of Business, University of California, Berkeley. Berkeley, CA, US

Park Sinchaisri Park Sinchaisri

Assistant Professor | Haas School of Business, University of California, Berkeley

Berkeley, CA, UNITED STATES

Social

Areas of Expertise (7)

Behavioral and Human-centric Operations Management

Empirical Operations Management

Future of Work

Gig Economy

Human/AI interface

Decision-Making

Urban Analytics

About

Park Sinchaisri is an Assistant Professor in the Operations and Information Technology Management Group at the University of California, Berkeley’s Haas School of Business. His primary research interests center around combining tools from operations management, economics, machine learning, and behavioral sciences to (i) study how humans learn and make decisions in complex environments, (ii) develop tools to improve human decision-making, and (iii) optimize strategies to manage human-centric operations. Currently, he is focusing on the gig economy, the future of work and services, and the human-AI interface.

Park received his PhD in Operations, Information, and Decisions and AM in Statistics from The Wharton School at the University of Pennsylvania, where he also served as a Wharton Social Impact Fellow. He also holds an SM in Computational Science and Engineering from MIT, and an ScB in Computer Engineering and Applied Mathematics-Economics from Brown University. Previously, he worked for Oracle, Goldman Sachs, and Deloitte Consulting.

Park, who grew up in Bangkok, Thailand, hopes to expand his research to solve urban challenges, help marginalized populations in the workforce, and make a positive social impact.

Education (4)

The Wharton School, University of Pennsylvania: PhD, Operations, Information, and Decisions 2021

The Wharton School, University of Pennsylvania: AM, Statistics 2021

MIT: SM, Computational Science and Engineering 2016

Brown University: ScB, Computer Engineering and Applied Mathematics-Economics 2012

Honors & Awards (16)

Finalist, INFORMS Behavioral Operations Management Best Working Paper Award

2021

Finalist, INFORMS Technology, Innovation Management and Entrepreneurship Section Best Working Paper Award

2021

2nd Place, POMS College of Behavioral Operations Junior Scholar Paper Competition

2021

Finalist, POMS College of Behavioral Operations Junior Scholar Paper Competition

2020

Best Student Paper in Operations and Supply Chain Management Division, Academy of Management

2019

2nd Place, Wharton People Analytics Conference Research Paper Competition

2019

3rd Place, INFORMS Behavioral Operations Management Best Working Paper Award

2019

Excellence in Student and Community Engagement Award, University of Pennsylvania

2019

Goldberg Barclay Fellowship (best research in the area of entrepreneurship)

2018

2nd Place, Wharton People Analytics Conference Case Competition

2018

Honorable Mention, MIT Operations Research Center Best Student Paper

2017

Albert M. Greenfield Intercultural Center Award

2017

Sigma Xi (The Scientific Research Honor Society)

2012

Karen T. Romers Undergraduate Teaching and Research Award

2011

Omicron Delta Epsilon (International Economics Honor Society)

2011

Tau Beta Pi

2010

Positions Held (1)

At Haas since 2021

July 2021-present, Assistant Professor, Operations and Information Technology Management, Haas School of Business, UC Berkeley July - August 2021, Lecturer, The Wharton School, University of Pennsylvania

Media Appearances (2)

WISE Fellows Use Real-World Data to Help Inform Philadelphia City Policy

Wharton Social Impact Initiative  

2020-04-29

PhD students Park Sinchaisri and Yun Cha met with the City of Philadelphia’s Office of Innovation and Technology to present research findings from their “Urban Analytics” WISE Fellowship project.

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What Motivates Workers in the Gig Economy?

Knowledge@Wharton  

2019-01-07

The gig economy offers tremendous flexibility for workers and companies, but it also comes with a host of unknown factors for both parties. A new study looks at how drivers for a ride-hailing firm make labor decisions – when to work, and for how long – and aims to improve predictions about labor supply and to shed light on more effective financial incentives.

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Working Papers (4)

Improving Human Decision-Making with Machine Learning

Hamsa Bastani, Osbert Bastani, and Wichinpong Park Sinchaisri

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The Impact of Behavioral and Economic Drivers on Gig Economy Workers

Gad Allon, Maxime C. Cohen, Wichinpong Park Sinchaisri

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Markdown Pricing with Quality Perception

Rim Hariss, Georgia Perakis, Wichinpong Park Sinchaisri, Yanchong Zheng

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Community Vibrancy and its Relationship with Safety in Philadelphia

Wichinpong Park Sinchaisri and Shane T. Jensen

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Selected Research Grants (5)

Mack Institute PhD Research Fellowship

Mack Institute for Innovation Management 

2019-2021

George James Term Fund Award

The Wharton School 

2019

Baker Center Research Grant

Baker Retailing Center 

2018-2021

Russell Ackoff Doctoral Student Fellowship

Wharton Risk Management and Decision Processes Center 

2018-2021

WISE Fellowship

Wharton Social Impact Initiative 

2018-2020