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CIS Seminar: “Machine Learning and Causality: Building Efficient, Reliable Models for Decision-Making”

Increasingly, practitioners are turning to ML to build causal models, and predictive models that perform well under distribution shifts. However, current techniques for causal inference typically rely on having access to large amounts of data, limiting their applicability to data-constrained settings. In addition, empirical evidence has shown that most predictive models are insufficiently robust with […]

CIS Seminar: “Expanding the Reach of Fuzzing”

Software bugs are pervasive in modern software. As software is integrated into increasingly many aspects of our lives, these bugs have increasingly severe consequences, both from a security (e.g. Cloudbleed, Heartbleed, Shellshock) and cost standpoint. Fuzzing refers to a set of techniques that automatically find bug-triggering inputs by sending many random-looking inputs to the program […]

CIS Seminar: “Graph representation learning for drug discovery”

The current pandemic highlights an acute need to develop fast therapeutics against health threats. Traditional approaches to drug discovery are expensive and slow to react to pandemics. In this talk, I will discuss how to accelerate drug discovery with deep learning, and demonstrate their success in antibiotic discovery and COVID-19 drug combination design. In computational terms, […]

CIS Seminar: “Prioritizing Computation and Analyst Resources in Large-scale Data Analytics”

Data volumes are growing exponentially, fueled by an increased number of automated processes such as sensors and devices. Meanwhile, the computational power available for processing this data – as well as analysts’ ability to interpret it – remain limited. As a result, database systems must evolve to address these new bottlenecks in analytics. In my […]

CIS Seminar: “Bias and Representation in Sociotechnical Systems”

Algorithms play a central role in our lives today, mediating our access to civic engagement, social connections, employment opportunities, news media and more. While the sociotechnical systems deploying these algorithms—search engines, social networking sites, and others—have the potential to dramatically improve human life, they also run the risk of reproducing or intensifying social inequities and […]

CIS Seminar: “Human-AI Systems for Making Video Useful”

Video is becoming a core medium for communicating a wide range of content, including educational lectures, vlogs, and how-to tutorials. While videos are engaging and informative, they lack the familiar and useful affordances of text for browsing, skimming, and flexibly transforming information. This severely limits who can interact with video content and how they can […]

CIS Seminar: “Proof systems for governance, transparency, and privacy”

Record-keeping has long played a critical role in society, from governing property ownership to establishing historical “truth”. Today, our dependence on digital records is becoming absolute, from our personal wealth, commerce, and identities to sources of knowledge and news. This has elevated the importance of three competing dimensions: Who has control over how records are […]

CIS Seminar: “Architecting Quantum Computing Systems in the Presence of Noise”

Quantum computers may solve some problems beyond the reach of classical digital computers. However, emerging quantum systems are typically noisy and difficult to control, leaving a significant gap between the exacting requirements of quantum applications and the realities of noisy devices. Bridging this gap is crucial – my work adapts conventional computer systems techniques to […]

CIS Seminar: “The Measurement and Mismeasurement of Trustworthy ML”

Across healthcare, science, and engineering, we increasingly employ machine learning (ML) to automate decision-making that, in turn, affects our lives in profound ways. However, ML can fail, with significant and long-lasting consequences. Reliably measuring such failures is the first step towards building robust and trustworthy learning machines. Consider algorithmic fairness, where widely-deployed fairness metrics can […]

CIS Seminar: ” Exterminating bugs in real systems”

Software is everywhere, and almost everywhere, software is broken. Some bugs just crash your printer; others hand an identity thief your bank account number; still others let nation-states spy on dissidents and persecute minorities. This talk outlines my work preventing bugs using a blend of programming languages techniques and systems design. First, I’ll talk about […]

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