News and Events

News

  • IACR [Talk] Data and Discussion DS event: Academic and Professional Opportunities - When: Friday, April 3, 12-2 pm Where: LIB 166 Abstract Join us for an engaging Data Science event featuring Alena Korshunova (MBA), currently a Business Intelligence Analyst at FM Global, who will share insights into her career path and experience working in industry. This is a wonderful opportunity to learn about real-world applications of data […]
  • Ryan Fox-Tyler [Talk] Ryan Fox-Tyler: AI Agents in Production: The Gap Between What’s Possible and What’s Deployable - When: Friday, April 3, 3:00 PMWhere: Tyler 055 AbstractEvery generation of developer infrastructure faces the same core tension: how do you give increasingly powerful systems the ability to act autonomously while maintaining the safety and governance guarantees that organizations require? For decades, this played out in distributed systems — microservices, data pipelines, and platform engineering […]
  • Optimization Example [Talk] LicketySPLIT: Near-Optimal Decision Trees in a SPLIT Second - When: Tuesday, March 31, 11:00 AMWhere: Bliss Hall 190 AbstractDecision tree optimization is fundamental to interpretable machine learning. The most popular approach is to greedily search for the best feature at every decision point, which is fast but provably suboptimal. Recent approaches find the global optimum using branch and bound with dynamic programming, showing substantial […]
  • Laura Forastiere [Talk] Laura Forastiere: Maximizing effectiveness under constrained resources through policy targeting under heterogeneous spillover effects - When: Friday, March 27, 3:00 PMWhere: Tyler 055 AbstractIn many empirical settings, individuals are interconnected, and an individual’s outcome may depend on the treatment of others, leading to interference. When interference is heterogeneous, treating individuals with specific characteristics can influence the population average outcome differently, either through their direct response or their impact on others. […]
  • Alina Jade Barnett [Talk] Alina Jade Barnett: Inherently Interpretable Deep Learning Models - When: Friday, March 13, 3:00 PM Where: Tyler 055 Abstract AI models now perform high-stakes tasks traditionally reserved for skilled professionals, often surpassing human expert performance. Despite these advances, the “black box” (i.e., uninterpretable) nature of many machine learning algorithms poses significant challenges. Opaque models resist troubleshooting, cannot justify their decisions, and lack accountability—limitations that […]
  • [Talk] Chenyang Zhong: Faithful and Efficient Synthetic Data Generation via Penalized Optimal Transport Network - When: Wednesday, March 4, 3:00 PM Where: Pharmacy 240 Abstract The generation of synthetic data whose distributions faithfully emulate the true data-generating mechanism is of critical importance in modern statistics and data science, with applications ranging from systematic model evaluation to augmenting limited datasets. While Wasserstein Generative Adversarial Networks have shown promise in this area, […]

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Recent Awards

  • Sarah Brown Sarah Brown Receives NSF CAREER Award - Assistant Professor of Computer Science Sarah Brown has received an NSF CAREER award for CAREER: Realizing Sociotechnical Machine Learning Through Modeling, Explanations, And Reflection. NSF CAREER awards are made in support of early-career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission […]
  • Shaun Wallace Department of Defense awards $100,000 for low-code or no-code tools - The United States Air Force (DoD) awarded Shaun Wallace and collaborator BAM Technologies a $100,000 SBIR/STTR Phase 1 grant. Their goal is to develop new, improve, or replace existing low-code or no-code technologies or frameworks that address end-users’ issues. Specifically, these tools will allow non-technical users to develop applications to solve organizational challenges secondary to the […]
  • Krishna Venkatasubramanian NSF Awards $599,999 for VR for Post-Trauma Self-Regulation - The National Science Foundation (NSF) has awarded $599,999 to Krishna Venkatasubramanian for Using Virtual Reality Technologies for Post-Trauma Self-Regulation for Adults with Intellectual and Developmental Disabilities, a project that will design VR-mediated technologies that empower adults with I/DD to engage in independent post-trauma self-regulation (PTSR) to cope with the negative effects of trauma.
  • Abdeltawab Hendawi $100,000 Award for Sidewalk Stress Detection and Routing - $100,000 in scholarships from The 401 BridgeTech foundation have been awarded to Abdeltawab Hendawi’s AI Lab for Sidewalk Stress Detection and Routing. This project aims at the development of algorithms, spatial data structures, and artificial intelligence (AI) models for sidewalk feature identification to provide safer accessibility routing and services on sidewalks.
  • Sarah Brown Survival and Flourishing Fund Awards $163,000 for Fair Data Science - The Survival and Flourishing Fund awarded Sarah Brown $163,000 for Machine Learning for Socio-technical Systems Lab. The project will build a benchmark for LLM Agents at doing fair data science.
  • Abdeltawab Hendawi NSF Awards $250,000 for Deforestation and Degradation Prediction - The National Science Foundation (NSF) has awarded Abdeltawab Hendawi $250,000 for Global Centers Track 2: Blue Climate Solution, a project that aims to improve predictions of deforestation and degradation, understand dynamic changes in carbon storage, and develop effective conservation policies. The Global Center (GC) for Blue Carbon Solutions, a partnership between the US and Indonesia, […]

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Seminars and Colloquia

  • IACR [Talk] Data and Discussion DS event: Academic and Professional Opportunities - When: Friday, April 3, 12-2 pm Where: LIB 166 Abstract Join us for an engaging Data Science event featuring Alena Korshunova (MBA), currently a Business Intelligence Analyst at FM Global, who will share insights into her career path and experience working in industry. This is a wonderful opportunity to learn about real-world applications of data […]
  • Ryan Fox-Tyler [Talk] Ryan Fox-Tyler: AI Agents in Production: The Gap Between What’s Possible and What’s Deployable - When: Friday, April 3, 3:00 PMWhere: Tyler 055 AbstractEvery generation of developer infrastructure faces the same core tension: how do you give increasingly powerful systems the ability to act autonomously while maintaining the safety and governance guarantees that organizations require? For decades, this played out in distributed systems — microservices, data pipelines, and platform engineering […]
  • Optimization Example [Talk] LicketySPLIT: Near-Optimal Decision Trees in a SPLIT Second - When: Tuesday, March 31, 11:00 AMWhere: Bliss Hall 190 AbstractDecision tree optimization is fundamental to interpretable machine learning. The most popular approach is to greedily search for the best feature at every decision point, which is fast but provably suboptimal. Recent approaches find the global optimum using branch and bound with dynamic programming, showing substantial […]

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