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October 21, 2022
In this issue:
Featured Event
Upcoming Events
Student Program Opportunity
Postdoctoral Fellowship Opportunity
Full-Time + Student Opportunities
Engage + Connect
Dear Friends, 

We are less than one month away from the HDSI Annual Conference 2022! Tickets are sold out for Day 1, but we still have tickets available for the Day 2 Plenary Sessions, which will be co-hosted by the Digital, Data, and Design (D^3) Institute at Harvard.

We are delighted to welcome speakers from Microsoft Research New England, MIT, Harvard, DataDotOrg, Netflix, Amazon Web Services (AWS), Salesforce, and more!

Join us for food, refreshments, and a day of discussion and learning. Reserve your tickets now. We hope to see you there!

Looking for a work in data science? Check out the internship, fellowship, and full-time opportunities below.

All the best,

The Harvard Data Science Initiative
Featured Event
Harvard Data Science Initiative Annual Conference 2022
Tuesday, November 15
9:00 AM – 5:00 PM EST

Science + Engineering Complex, Harvard SEAS
Wednesday, November 16, 2022
8:00 AM – 6:30 PM EST

Klarman Hall,
Harvard Business School
Two days of in-person workshops, tutorials, + plenary sessions
The invites you to the HDSI Annual Conference 2022, a two-day, in-person event that will showcase data science in research and education through panels, keynotes, workshops, and tutorials featuring speakers from across Harvard, academia, and industry. Join us to connect with data science professionals, expert methodologists, and educators across disciplines to ignite new discoveries with impacts on health, education, economics, social policy, business, and the humanities.

This event is free and open to the public. Ticket required for admission. Please RSVP to reserve your spot.
Tickets for the Day 1 tutorial and workshop are sold out, but there are still tickets available for the Day 2 plenary sessions!

Day 2 Plenary Sessions:
  • Academic Keynote
  • Industry Keynote
  • Lightning Talks: HDSI Postdoctoral Fellows
  • Panel 1: Communicating Data Science – Trust with complexity
  • Panel 2: Social Impact Computing – Building an emerging field
  • Panel 3: Agent-Based Modeling – Complex ecosystems in silico
  • Panel 4: Data Science and Climate – Connecting planetary and human health
Read about some of our confirmed speakers:
Martin Tingley (Head of the Experimentation Platform Analysis Team, Netflix)

Industry Keynote

Martin Tingley leads a multidisciplinary team focused on developing and scaling both statistical methodology and software solutions to improve decision-making across the company.
Maria De-Arteaga (Assistant Professor, McCombs School of Business, University of Texas at Austin)

Academic Keynote

Maria holds a joint PhD in Machine Learning and Public Policy. Her research is focused on algorithmic fairness and human-AI complementarity.
Danil Mikhailov (Executive Director,

Panel 2: Social Impact Computing – Building an emerging field

Danil has over 20 years of experience leading work across a range of sectors, investigating and innovating where technology, culture, and society converge.
Gina McCarthy (Former White House National Climate Advisor; Former EPA Administrator)

Panel 4: Data Science and Climate – Connecting planetary and human health

Gina McCarthy is an air quality expert who served as the first White House National Climate Advisor. 
Upcoming Events
Using RStan for Bayesian Statistics
Thursday, October 27, 2022
5:00 PM – 6:00 PM EST
Virtual (Zoom)
Hosted by R User Group at the Harvard Data Science Initiative
  • Fayette Klaassen, Postdoctoral Researcher, Department of Global Health and Population, Harvard T.H. Chan School of Public Health
Join RUG at the HDSI to learn about how you can use RStan to perform Bayesian statistics in R! This talk will provide an introduction to what Bayesian statistics and RStan are and how you can get started using them.

Fayette Klaassen works on Bayesian statistical models to predict COVID-19 infections. Fayette will introduce how to write a Stan program and describe the workflow using Stan as well as go over some example Stan models.
Optimal nonparametric estimation of heterogeneous
causal effects 
Thursday, November 3, 2022
3:30 PM – 5:30 PM EST
Hawes Hall, Classroom 203, Harvard Business School
HDSI Causal Seminar: Edward Kennedy, Carnegie Mellon
  • Edward Kennedy, Associate Professor of Statistics and Data Science, Carnegie Mellon University

Estimation of heterogeneous causal effects -- i.e., how effects of policies and treatments vary across units -- is fundamental to medical, social, and other sciences, and plays a crucial role in optimal treatment allocation, generalizability, subgroup effects, and more. Many methods for estimating conditional average treatment effects (CATEs) have been proposed in recent years, but there have remained important theoretical gaps in understanding if and when such methods make optimally efficient use of the data at hand. This is especially true when the CATE has nontrivial structure (e.g., smoothness or sparsity). Read more.
Symposium on Science, Technology, + the Human Future
November 3 – 5, 2022
Harvard University
Hosted by the Program on Science, Technology + Society at Harvard University in celebration of its 20th Anniversary
The Program on Science, Technology & Society is celebrating its 20th anniversary with a Symposium on Science, Technology and the Human Future, to be held at Harvard from November 3-5, 2022. This major event will feature a wide range of high profile speakers across political, academic, and broader society. 
The Symposium begins at 5pm on Thursday, November 3 with a keynote lecture by novelist Arundhati Roy, including performances of original music and fiction written by Harvard students. We continue on Friday with panels on the role of science and technology in shaping the human future, including the future of knowledge, life, policy, and cities. Saturday includes open discussions on how STS can position us to better understand and govern ourselves, our societies, and our Earth.
Biomedical Informatics Entrepreneurs Salon: Anne Wojcicki, 23andMe
Tuesday, November 8, 2022
5:00 PM – 6:00 PM EST
Virtual (Zoom)
Hosted by the Harvard Office of Technology Development and the Harvard Medical School Department of Biomedical Informatics
  • Anne Wojcicki, CEO and Co-Founder of 23andMe

Anne is a pioneer in the direct-to-consumer DNA testing space and her vision and persistence have allowed 23andMe to provide people with unprecedented access to genetic information. Through its research platform, 23andMe has brought personalized medicine directly to millions of consumers. Read more.

Data and Economic Principles in Video Games
Thursday, November 10, 2022
1:30 PM – 2:30 PM EST
Virtual (Zoom)
HDSI Industry Seminar: Tammy Levy,
  • Tammy Levy, Chief Games Officer,

Underneath the fun of games we can find complex economies. In the last 15 years, with the rise of accessible broadband internet, video game developers have been able to regularly release game updates or "patches" through a process called live servicing. In addition to new content, game designers often add, remove, and rebalance the resources in the game– effectively manipulating the game's economy on a regular basis. In this talk, I will cover the basic principles of game economies and the core business KPIs used to monitor a game's performance. Then I'll walk through real examples behind the data-driven decisions for game optimization.
Student Program Opportunity
D^3 Learning Sprints: Everyday Analytics
Meets weekly on Wednesdays
12:15 – 1:45 PM EST
November 9 – December 7 (no class on November 23)
  • Emily Oster, Professor of Economics, Brown University
Everyday Analytics is a month-long program designed to help students understand and process data as it is typically communicated to them via news media and popular culture. The program will focus on four key analytic concepts which, when deeply understood, can feed back into better understanding of data in and outside the workplace. The goal of the program is to enhance facility with these concepts to develop fluency in applying them in a wide range of situations. Front Row students will have an opportunity to work directly with data, alongside analysis of existing evidence.
Featured Postdoctoral Fellowship Opportunity
Harvard Data Science Initiative Postdoctoral Fellowship Program 
Deadline: Monday, November 14th, 11:59 PM EST
The Harvard University Data Science Initiative is seeking applications for its Harvard Data Science Initiative Postdoctoral Fellows Program for the 2023-2024 academic year. The normal duration of the Fellowship is two years. Fellows will receive a generous salary as well as an annual allocation for research and travel expenses. 

We are looking for researchers whose interests are in data science, broadly construed, and including researchers with a primarily methodological focus as well as researchers who advance both methodology and application. Fellows will be provided with the opportunity to pursue their research agenda in an intellectually vibrant environment with ample mentorship. We are looking for independent researchers who will seek out collaborations with other fellows and with faculty across all schools of Harvard University.

We recognize that strength comes through diversity and actively seek and welcome people with diverse backgrounds, experiences, and identities.
Full-time, Internship, + Fellowship Opportunities
Recently Posted Jobs at Harvard
Data Science Project Management Specialist
Harvard Faculty of Arts and Sciences

Pre-doc Fellow
Harvard Business School

Connected Systems Software Developer
Harvard John A. Paulson School of Engineering and Applied Sciences

Data Engineer
Harvard Medical School

Principal Data Engineer
Harvard Medical School

Assistant Director, Sustainability Data Analytics
Harvard University Office for Sustainability

Senior Research Computing Systems Software Engineer
Harvard Faculty of Arts and Sciences

Bioinformatics Scientist
Harvard Faculty of Arts and Sciences

Bioinformatician II
Harvard T.H. Chan School of Public Health
Senior Programmer
Harvard T.H. Chan School of Public Health

Statistical Analyst/Programmer
Harvard T.H. Chan School of Public Health

Senior Data Scientist
Digital, Data, and Design (D^3) Institute, Harvard Business School

Data Scientist, D^3 Institute
Digital, Data, and Design (D^3) Institute at Harvard Business School

Bioinformaticist I
Harvard Faculty of Arts and Sciences

Senior Full Stack Software Engineer
Harvard Faculty of Arts and Sciences

Data Science Specialist
Institute for Quantitative Social Science (IQSS)

Applied Research Statistician
Harvard Law School

SAS Programmer I
Harvard T.H. Chan School of Public Health
Internship + Fellowship Opportunities
Software Engineering Intern, PhD, Summer 2023

Research Intern - Machine Learning for Biology and Healthcare
Hack.Diversity [Boston]: 2023 Fellowship - Data Analytics

Hack.Diversity [Boston]: 2023 Fellowship - Software Engineering
Engage + Connect
Interested in reading more about data science projects and news at Harvard? Check out our blog for features, top stories, and what we are learning now in the world of data.
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