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ESE & CIS Seminar: “Toward Power-Efficient Computing with Applied Inference”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

Abstract: We require computers that extract value from exponential data growth even as exponential transistor scaling falters. With limited scaling, power and thermal density threaten performance. Architects must pursue power efficiency in design and management. My research group addresses these challenges by integrating systems architecture with statistical inference. First, we design systems by tailoring hardware […]

ESE Seminar: “Large-Scale Quantum Photonic Processors”

Room 337, Towne Building 220 South 33rd Street, Philadelphia, PA, United States

Abstract Photons play a central role in many areas of quantum information science, either as qubit themselves or to mediate interactions between long-lived matter based qubits. Techniques for (1) high-fidelity generation, (2) precise manipulation and (3) ultra-efficient detection of quantum states of light are therefore a prerequisite for virtually all quantum technologies. A quantum photonic […]

CIS Seminar: Rethinking Operating System and Hardware Abstractions for Good and Evil

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

Abstract: Current hardware and operating system abstractions were conceived at a time when we had minimal security threats, scarce compute and memory resources, and limited numbers of users. These assumptions are not true today. On one hand, attacks such as Spectre and Meltdown have shown that current hardware is plagued by vulnerabilities. On the other […]

ESE Seminar: “Adapting black-box machine learning methods for causal inference”

Room 337, Towne Building 220 South 33rd Street, Philadelphia, PA, United States

Abstract: I'll discuss the use of observational data to estimate the causal effect of a treatment on an outcome. This task is complicated by the presence of 'confounders' that influence both treatment and outcome, inducing observed associations that are not causal. Causal estimation is achieved by adjusting for this confounding by using observed covariate information. I'll […]

ESE Seminar: “Nanophotonics: A High Bandwidth Optical Neural Interface”

Room 337, Towne Building 220 South 33rd Street, Philadelphia, PA, United States

Abstract Light is a powerful tool for interrogating and manipulating biological systems, enabling targeted stimulation, sensing, and imaging. Optical methods such as optogenetics have transformed the study of neural circuits by making it possible to control neural activity using light. However, there remains a critical demand in research and medicine for miniaturized high resolution optical […]

ESE Seminar: “Quantum information processing with superconducting circuits: Purcell effect and the measurement problem”

Abstract With recent advances in state preparation, gate, and measurement operations, superconducting circuit architectures are now leading candidates for quantum information processing. As micro-fabricated circuits are scaled up towards a practical quantum processor, strict requirements on the fidelity of operations required for quantum computation are imposed. For theorists, this mandates the development of accurate models […]

ESE Seminar: “Engineering Quantum Processors in Silicon”

Room 337, Towne Building 220 South 33rd Street, Philadelphia, PA, United States

Abstract Across the globe, physicists in academia and industry alike are competing to be the first to build a scalable universal quantum computer. Amongst the multitudes of quantum computing architectures, solid-state quantum processors based on spins in silicon are emerging as a strong contender. Silicon is an ideal material to host spin qubits: it supports […]

CIS Seminar: “Risk-Aware Machine Learning at Scale”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

Abstract: In recent years, machine learning has seen rapid advances with increasingly large scale and complex data modalities, including processing images, natural language and more. As a result, applications of machine learning have pervaded our lives to make them easier and more convenient. Buoyed by this success, we are approaching an era where machine learning […]

PICS Seminar – Dr. Cesar de la Fuente of the University of Pennsylvania, Perelman School of Medicine

PICS Conference Room 534 - A Wing , 5th Floor 3401 Walnut Street, Philadelphia, PA, United States

Abstract: Until now, the natural world has supplied us with antibiotics. Bacteria, however, are increasingly resistant to these drugs. The next generation of antibiotics will likely come not from nature but from computer-based discovery. Working at the forefront of this development, I seek to harness computational power to find molecules with antibacterial activity. I use […]