Ira Globus-Harris <br>
pronouns: they/them <br>
PhD Student, Computer and Information Sciences <br>
University of Pennsylvania <br>
igh at seas dot upenn dot edu <br>

<h1> About Me </h1>

<p>

My name is Ira Globus-Harris, and I am a fourth year PhD student in the computer and information sciences 
department at the University of Pennsylvania, co-advised by <a href="https://www.cis.upenn.edu/~aaroth/">Aaron 
Roth</a> and <a href="https://www.cis.upenn.edu/~mkearns/">Michael Kearns</a>. My research focuses on 
questions relating to algorithmic fairness and privacy. Prior to Penn, I worked at Boston University as a 
software engineer with SAIL and with the Harvard Privacy Tools Project. I got my bachelors degree from
Reed College in Portland, OR.
</p>

<h1> Publications </h1>

<p> 
Globus-Harris, Ira; Harrison, Declan; Kearns, Michael; Perona, Pietro; Roth, Aaron. "<a href = "https://arxiv.org/abs/2402.10795"> Diversified Ensembling: An Experiment in Crowdsourced Machine Learning. </a>" 2023. 
</p>

<p>
Globus-Harris, Ira; Harrison, Declan; Kearns, Michael; Roth, Aaron; Sorrell, Jessica. "<a href="https://arxiv.org/abs/2301.13767">Multicalibration as Boosting for Regression.</a>" ICML 2023 (Oral presentation).
</p>

<p>
Globus-Harris, Ira; Gupta, Varun; Jung, Christopher; Kearns, Michael; Morgenstern, Jamie; Roth, Aaron. "<a href="https://arxiv.org/abs/2209.07312"> Multicalibrated Regression for Downstream Fairness</a>". AIES 2023.
<p>

Globus-Harris, Ira; Kearns, Michael; Roth, Aaron. "<a href="https://arxiv.org/pdf/2201.10408.pdf">An Algorithmic Framework for Bias Bounties</a>." ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2022.
</p>
<p>
Diana, Emily; Gill, Wesley; Globus-Harris, Ira; Kearns, Michael; Roth, Aaron; Sharifi-Malvajerdi, Saeed. "<a href="https://arxiv.org/abs/2102.08454">Lexicographically Fair Learning: Algorithms and Generalization."</a> Foundations on Responsible Computing (FORC). 2021.
</p>

<p>
Drechsler, Joerg; Globus-Harris, Ira; McMillan, Audra; Sarathy, Jayshree; Smith, Adam. “<a href="https://arxiv.org/abs/2106.10333">Non-parametric Differentially Private Confidence Intervals for the Median.</a>” 2021.
</p>

<p>
Swanberg, Marika; Globus-Harris, Ira; Griffith, Iris; Ritz, Anna; Groce, Adam; Bray, Andrew. “<a href="https://arxiv.org/abs/1903.00534">Improved Differentially Private Analysis of Variance.</a>” Privacy Enhancing Technologies Symposium (PETS). 2019.
</p>

<p>
Qin, Lucy; Lapets, Andre; Jansen, Frederick; Flockhart, Peter; Dak Albab, Kinan, Globus-Harris, Ira. "<a href="https://www.usenix.org/conference/soups2019/presentation/qin">From Usability to Secure Computing and Back Again.</a>” Fifteenth Symposium on Usable Privacy and Security (SOUPS). 2019
</p>

<p>
Dak Albab, Kinan; Issa, Rawane; Lapets, Andrei; Flockhart, Peter; Qin, Lucy; Globus-Harris, Ira. “<a href="https://ieeexplore.ieee.org/document/8901552">Tutorial: Deploying Secure Multi-Party Computation on the Web Using JIFF.</a>” IEEE Secure Development (SecDev), 2019.
</p>


<h1> Talks </h1>

"Multicalibration as Boosting for Regression," Institute for Operations Research and Management Sciences (INFORMS) Annual Meeting, October 2023. <br>
"Multicalibration as Boosting for Regression," Oral presentation at ICML, August 2023. <br>
"Multicalibration as Boosting for Regression," Foundations on Responsible Computing (FORC), June 2023. <br>
“An Algorithmic Framework for Bias Bounties,” Institute for Operations Research and Management Sciences (INFORMS) Annual Meeting, October 2022. <br>
“An Algorithmic Framework for Bias Bounties,” Reed College Computer Science Colloquium, April 4 2022. <br>
"Lexicographically Fair Learning: Algorithms and Generalization," Theory of Computation for Fairness Seminar, Simons Institute Collaboration, October 27 2021. <br>

<h1> Awards and Recognitions </h1>

AWS AI ASSET Fellow, 2024. <br>
EECS Rising Star by Georgia Tech, 2023.


<h1> Teaching </h1>

Fall 2022-Present: Undergraduate thesis advisor for Reed College <br>
Spring 2022: Head TA and course design, U Penn CIS 423/523 Ethical Algorithm Design <br>
Spring 2022: TA, U Penn NETS 412 Algorithmic Game Theory <br>
Fall 2021: Head TA and course design, U Penn CIS 320 Introduction to Algorithms <br>
2015-2018: TA and tutor, Reed Math 121 Introduction to Programming <br>
2017-2018: Instructor and course design, Computer Science Outreach Program <br>
2017: Tutor, Reed Physics 202 Modern Physics <br>
2016: Tutor, Reed Physics 201 Oscillations and Waves <br>
2015-2016: Tutor, Reed Humanities 110 <br>

<h1> Past Research Affiliations and Projects </h1>

Amazon AWS intern (Summer 2021-Spring 2022 and Summer 2023) </a><br>
<a href="https://sail.bu.edu"> Boston University SAIL </a><br>
<a href="https://privacytools.seas.harvard.edu"> Harvard Privacy Tools Project </a><br>
<a href="https://smartnoise.org"> SmartNoise  </a><br>
<a href="https://opendp.org"> OpenDP  </a><br>
<a href="https://multiparty.org"> Multiparty.org </a><br>

<h1> Advocacy </h1> 

<p>
2020-22, I was the president of the Penn school of engineering and applied sciences' group for LGBTQ+ graduate students, and am a diversity council representative 
for the computer and information theory department for the school of engineering and applied sciences. While at Penn, I have led and advocated for several changes 
for trans inclusion within the school and the university more broadly. While in undergrad, I co-led the group for gender minorities in STEM fields. 
I also designed curriculum and taught a <a href="https://www.reed.edu/reed-magazine/articles/2018/math-cs-outreach.html">computer science outreach program</a> 
to a local elementary school while at Reed, and painted some <a href="https://www.reed.edu/reed-magazine/articles/2017/stem-gems-mural.html"> fun murals </a> 
which have now inspired some other <a href="https://www.reed.edu/reed-magazine/articles/2021/stafford-bio-mural.html">fun murals</a>.
</p>