Jacobs Design Conversations: Elizabeth Churchill

310 Jacobs Hall
Elizabeth Churchill, Director of User Experience at Google, will give a talk on Empowering Creators: Research & Material Design at Jacobs Hall.

Diversity-promoting and large-scale machine learning for healthcare

430 (Woz) Soda Hall
  • Pengtao Xie, Petuum
In healthcare, a tsunami of medical data has emerged, including electronic health records, images, literature, etc. These data can be heterogeneous and noisy, which renders clinical decision-making time-consuming, error-prone and suboptimal. In this thesis, we develop machine learning (ML) models and systems for distilling high-value patterns from unstructured clinical data and making informed...

Solid State Technology and Devices Seminar: Silicon Carbide Micro-/Nanosystems for Harsh Environment Applications

521 Hogan Room Cory Hall
  • Roya Maboudian, UC Berkeley Department of Chemical & Biomolecular Engineering
Silicon has been the dominant semiconducting material in micro-/nanosystems technologies. However, the material and surface properties of silicon impose limitations on its use in applications involving harsh environment (such as high temperature, high radiation and corrosive conditions). Silicon carbide (SiC), a wide bandgap semiconductor, is emerging as a material to address the limitations of...

Metabolite-based Diagnostics Enabled by MEMS Devices: Nano Seminar Series

390 Hearst Memorial Mining Building
  • Prof. Cristina Davis, UC Davis, Mechanical & Aerospace Engineering
A wide range of both volatile organic compounds (VOCs) and non-volatile metabolites are generated by almost all biological systems, and are now thought to represent end products associated with organism physiology and metabolism. This applies to many different types of systems ranging from humans, bacteria, trees, and plants. In humans, several thousand metabolic chemical compounds have been...

2018 Data Science Panel

West Pauley Ballroom
  • Nitesh Kumar, Head of Data Science, Affirm
  • Andrew FigPope, Lead Data Architect, Celmatix
  • Anagha Joshi, Data Scientist, Tesla
  • Jason Goodman, Data Scientist, Airbnb
  • Anthony Suen, Director of Programs, Berkeley Division of Data Science
This is the 3rd Annual Berkeley Data Science Panel hosted by Data Science Society at Berkeley. Highly accomplished professionals from Tesla, Airbnb, Berkeley Division of Data Sciences, Affirm, and Celmatix will be speaking about their diverse experiences in the data science industry. After the speaker sessions, you’ll get a chance to talk to these professionals and hear from them on a more...

Efficient Computational Methods with Provable Guarantees for Data-Driven Problems

3108 Etcheverry Hall
  • Somayeh Sojoudi, Berkeley IEOR and EECS
The area of data science lacks efficient computational methods with provable guarantees that can cope with the large-scale nature and the high nonlinearity of many real-world systems. Practitioners often design heuristic algorithms tailored to specific applications, but the theoretical underpinnings of these methods remain a mystery and this limits their usage in safety-critical systems. In this...

The Limits of Proof

Banatao Auditorium Sutardja Dai Hall
  • Paul Beame, University of Washington
In the early part of the 20th century, Gödel, Turing, and Tarski showed that no consistent system of reasoning can contain proofs of important properties of the natural numbers or of computations. In these cases, the difficulty stems from the need to reason about infinities of numbers or time that don't show up in our everyday world. In contrast, proofs of properties in a bounded size world...

Dissertation Talk: Learning to Navigate in Visual Environments

380 Soda Hall
In this talk, we examine learning and systems challenges related to visual navigation tasks. First, we approach visual navigation tasks within the setting of reinforcement learning under partial observation. Second, we consider issues related to the large scale training of convolutional nets.

Design Field Notes: Ian Leighton

220 Jacobs Hall
Ian Leighton is a digital product designer from the Bay Area, now based in Lisbon. He graduated from UC Berkeley in Mechanical Engineering (2011). He founded a startup, Embark which created a dozen public transit apps for iPhone, and was acquired by Apple in 2013. At Apple, Ian worked on a large part of the design for Apple Maps Transit. His talk will explore "Design in Transit."

Creating the future of nuclear energy: Berkeley Distinguished Lectures in Data Science with Rachel Slaybaugh

190 Doe Library
  • Rachel Slaybaugh, Assistant Professor, Nuclear Engineering, UC Berkeley
The nuclear energy industry is at a crossroads: existing nuclear reactors are struggling to operate economically in some tough markets, and construction of new designs in the U.S. is slow and over budget. At the same time, interest in and development of the next generation of nuclear reactors is growing at an unprecedented rate, and some other nations are building new reactors efficiently. Can...