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  • Teaching Interest

Investing: Risk, Return and Impact (MBA)

By: Shawn A. Cole

This is an investing/finance course, designed to build on skills introduced in the RC finance course, but with an emphasis on how and whether investors should incorporate what have traditionally been considered “non-financial” criteria in their decisions: for... View Details

  • Research Summary

Making Machine Learning Models Fair

By: Himabindu Lakkaraju
The goal of this research direction is to ensure that the machine learning models we build and deploy do not discriminate against individuals from minority groups. View Details
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Making Machine Learning Models Interpretable

By: Himabindu Lakkaraju
I work on developing various tools and methodologies which can help decision makers (e.g., doctors, managers) to better understand the predictions of machine learning models. View Details
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Making Machine Learning Robust to Adversarial Attacks

By: Himabindu Lakkaraju
The goal of this research is to ensure that machine learning models that we build and deploy are not easily susceptible to attacks by adversarial or malicious entities. View Details
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Managing Service Operations - MBA Elective Curriculum

By: Ryan W. Buell

World-class service organizations deeply understand the needs and behaviors of their customers, and design, manage, and improve their operating models accordingly. This course investigates the distinct challenges inherent in leading service operations, which make up... View Details

Keywords: Service Delivery; Customer Satisfaction; Customer Loyalty; Quality; Employees; Service Models; Service Industry
  • Teaching Interest

MBA Elective Curriculum-- Competing Through Business Models

By: Ramon Casadesus-Masanell

The  words  “business  model”  are  inescapable  in  our  daily  fare of  business  news.  These  two ubiquitous words seemed to effortlessly rise up to prominence during the dot-com boom of the late 1990s. When businesspeople, journalists, academics, and other... View Details

Keywords: Business Model; Strategy; Competitive Strategy
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Overview

By: Mitchell B. Weiss
Public entrepreneurship, entrepreneurship, leadership, business and government, cities, artificial intelligence View Details
Keywords: Public Entrepreneurship; Leadership; Business And Government; Artificial Intelligence; Entrepreneurship; Innovation and Invention; Innovation Leadership; Collaborative Innovation and Invention; Public Sector; City; AI and Machine Learning
  • Teaching Interest

Overview

By: Rob Markey

Managing Service Operations - MBA Elective Curriculum

World-class service organizations deeply understand the needs and behaviors of their customers, and design, manage, and improve their operating models accordingly. This course... View Details

Keywords: Customer Lifetime Value; Customer Centric Initiative; Customer Engagement; Service Management; Service Profit Chain; Service Design; Service Models; Service Excellence; Customer Focus and Relationships; Customer Satisfaction; Customer Value and Value Chain; Service Delivery; Service Operations
  • Teaching Interest

Overview

By: V.G. Narayanan
I teach accounting to MBA students, executives, and Harvard Extension School students. I teach topics from both financial and managerial accounting. I also train professors in teaching by the case method. View Details
Keywords: Financial Accounting; Management Accounting; Case Method Teaching; Corporate Governance; Customer Relationship Management; AI and Machine Learning; Health Industry; Education Industry; Banking Industry; India; North America
  • Research Summary

Overview

By: Prithwiraj Choudhury
Prithwiraj (Raj) Choudhury is the Lumry Family Associate Professor at the Harvard Business School. He was an Assistant Professor at Wharton prior to joining Harvard. His research is focused on studying the Future of Work, especially the changing Geography of Work. In... View Details
Keywords: Geography; Mobility; Migration; Multinational; Productivity; Crucible Experiences; Machine Learning; Geographic Location; Technology Industry; India; United States; China
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Overview

By: Ting Zhang
Professor Zhang examines how organizations can better develop individuals through advising and mentoring. In particular, she investigates how expanding individuals' direction of learning across social hierarchies and reversing traditional models of learning (e.g.,... View Details
Keywords: Advice; Mentoring; Expertise; Ethics; Interventions; Organizational Behavior; Decision Making; Power And Influence
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By: Isamar Troncoso
Professor Troncoso's research explores problems related to digital marketplaces and AI applications in marketing, and combines toolkits from econometrics, causal inference, and machine learning. She has studied how different platform design choices can lead to... View Details
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Overview

By: Iavor I. Bojinov
Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
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Overview

By: Himabindu Lakkaraju
I develop machine learning tools and techniques which enable human decision makers to make better decisions. More specifically, my research addresses the following fundamental questions pertaining to human and algorithmic decision-making:

1. How to build... View Details
Keywords: Artificial Intelligence; Machine Learning; Decision Analysis; Decision Support
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By: Shunyuan Zhang
Professor Zhang uses machine learning to address marketing problems that have arisen within the nascent sharing economy. She conducts rigorous analyses of structured and unstructured data generated by new sharing economy platforms to address important issues emerging... View Details
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Overview

By: Srikant M. Datar
Professor Datar has several research and course development interests. His initial areas of research interest were in cost management and management control, strategy implementation and governance. Over the last few years his areas of interest are management education,... View Details
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By: Reshmaan N. Hussam

Engaged with field work in South Asia and East Africa, Professor Hussam places a focus on exploring questions with strong theoretical motivation in the economics literature as well as relevant downstream policy implications. Her research spans four broad interests.... View Details

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Overview

By: Ashley V. Whillans
Engaged with field work in East Africa, South Asia, and in several large hybrid organizations in the United States, Professor Whillans places a focus on exploring questions with strong theoretical motivation in the social psychological literature and relevant... View Details
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By: Kris Johnson Ferreira
Professor Ferreira's research primarily focuses on how retailers can use algorithms to make better revenue management decisions, including pricing, product display, and assortment planning. In the retail industry, anticipating consumer demand is arguably one of the... View Details
Keywords: E-commerce; Analytics; Revenue Management; Pricing; Assortment Planning; Field Experiments; Operations; Supply Chain; Supply Chain Management; Retail Industry
  • Research Summary

Selective Attention and Learning

By: Joshua R. Schwartzstein

What do we notice, and how does this affect what we learn? Standard economic models of learning ignore memory by assuming that we remember everything. But there is growing recognition that memory is imperfect. Further, memory imperfections do not stem from limited... View Details

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