From CSGSA

New Non-Academic Careers Panel Series

The latest CS grad student survey revealed that 30% of current students are targeting non-academic careers, and 40% of students consider themselves undecided. The Berkeley CS Graduate Students Association is organizing a new "Experiences in Industry" Panel Series this Fall to offer students an opportunity to learn more about career paths outside academia.

This panel series provides a forum for CS graduate students to hear and discuss the pros and cons of a non-academic career path from persons who have already tread that path. The series will focus on such practical issues as:

1. Why consider a career outside academia?
2. How can you maximize your PhD work for a non-academic career?
3. What can you do NOW to advance your performance in a non-academic career?

Contents 1 Intended Audience 2 Panel Event 3 3 Panel Event 2 4 Panel Event 1

Intended Audience

CS graduate students students of all years will find this seminar series useful. If you are a first year student, it will give you an early insight into available career opportunities and help appropriately direct your research. If you are a middle or final year student, it will help ground your soon-to-be-made career decisions with sound advice from experienced industrial speakers.

Panel Event 3

5:00 PM, Thursday, 16 Oct in Soda 405

	Andrei Broder is a Fellow and Vice President for Computational Advertising in Yahoo! Research. He also serves as Chief Scientist of Yahoo’s Advertising Technology Group. Previously he was an IBM Distinguished Engineer and the CTO of the Institute for Search and Text Analysis in IBM Research. From 1999 until 2002 he was Vice President for Research and Chief Scientist at the AltaVista Company. He was graduated Summa cum Laude from Technion, the Israeli Institute of Technology, and obtained his M.Sc. and Ph.D. in Computer Science at Stanford University under Don Knuth. His current research interests are centered on computational advertising, web search, context-driven information supply, and randomized algorithms. Broder is co-winner of the Best Paper award at WWW6 (for his work on duplicate elimination of web pages) and at WWW9 (for his work on mapping the web). He has authored more than eighty papers and was awarded twenty-five patents. He is an ACM Fellow, an IEEE fellow, and past chair of the IEEE Technical Committee on Mathematical Foundations of Computing.
	Nina Taft is currently a senior research scientist at Intel Research Berkeley. Prior to joining Intel, Nina was a distinguished researcher at Sprint Labs, and from 1994-1999, she worked at SRI International. Nina is considered one of the pioneers of the field of Internet traffic matrix estimation, having contributed both first and second generation techniques as well as having developed applications for traffic matrix datasets, in the areas of security and routing. Over the years, her research has focused on the application of mathematical techniques (such as optimization, data mining, etc) to networking problems such as ISP traffic engineering, host-based security, and enterprise network design. She received her PhD degree from the U.C. Berkeley in 1994. Nina was the PC co-chair for SIGCOMM 2007, served as an associate editor for the IEEE Transactions on Networking journal for 4 years, and is a member of the ACM Internet Measurement Conference steering committee. She has published over 50 technical papers, served on over 20 program and executive conference committees, and holds 10 patents.
	Ashok Popat received his SB and SM degrees in Electrical Engineering from MIT, and his Ph.D. from the MIT Media Lab, working on signal and image processing and data compression. During or between degrees he worked at Hewlett-Packard, Motorola/Codex, the EPFL in Lausanne Switzerland, and PictureTel Corporation. He joined Xerox PARC in 1997, where he was a member of the research staff until 2005 and, from 2003-2005, a research area manager. Since 2005 he has been a researcher at Google. His professional work has been in the areas of document image processing, pattern recognition, and statistical natural language processing.

Panel Event 2

5:30 PM, Wednesday, 8 Oct in Soda 405

slides	Wei Hong is responsible for all engineering related issues at Arch Rock. Prior to co-founding Arch Rock, he was Senior Researcher and Principal Investigator at Intel Research Berkeley where he led the sensor network project. His pioneering work on data management in sensor networks helped lead to two widely used and cited systems: the TinyDB distributed query processing system on TinyOS and the Tiny Application Sensor Kit (TASK), a turn-key system for rapid sensor network deployment. He gained extensive experiences in real-world sensor network applications by leading several large deployment efforts at Intel Research. Prior to joining Intel Research, he co-founded and was Chief Architect for two innovative database startup companies: Illustra Information Technology Inc. (acquired by Informix Corp., now IBM) and Cohera Corp. (acquired by PeopleSoft, now Oracle). He holds a Ph.D. in Computer Science from U.C. Berkeley as well as M.E., B.E. and B.S. in Computer Science and Applied Mathematics from Tsinghua University, Beijing.
slides	Stephen R. Smoot joined Riverbed in February 2003, and has served as a Vice President of Technical Operations since May 2004. From September 2002 to February 2003, Dr. Smoot consulted for various companies in the areas of MPEG video, networking, and system design. From October 2000 to September 2002, he was a Senior Director at Inktomi Corporation focused on MPEG, streaming video, and networking. He joined Inktomi following its acquisition of FastForward Networks where he served as Director of Engineering from February 1999 to October 2000. Immediately after UCB Dr Smoot worked first as a research programmer then software director at Imedia Corporation (now part of Motorola). He holds a M.S. and Ph.D. in Computer Science from the University of California Berkeley, and dual SBs in Computer Science and Mathematics from MIT. He worked with the UC Berkeley Multimedia Research Center under Profession Lawrence Rowe, writing a MS dissertation on UI design for semiconductor manufacturing, and a PhD dissertation on MPEG video encoding.
slides	Moises Goldszmidt joined the MSR Silicon Valley Lab in early 2006. His research interests include probabilistic reasoning (algorithms and representation), graphical models, pattern recognition, statistical induction, machine learning, and artificial intelligence. Since 1999, Moises has been focusing his research on the application of statistical pattern recognition and probabilistic reasoning to the diagnosis, forecasting, and control of performance problems and faults in complex networked computer systems. Moises has over 45 publications in his fields of interests and several patents. He was the Program Co-Chair and Conference Chair of the Uncertainty in AI Conference in 2000 and 2001, the Co-Chair of the ACM Workshop on Self-Managing Systems in 2003, and of the First Workshop on Tackling Computer System Problems with Machine Learning Techniques in 2006. Since 1990 Moises have been a program committee member of conferences related to his research areas. Prior to Microsoft, Moises held similar positions with Hewlett-Packard Labs, SRI International, and Rockwell Science Center, and was a principal scientist with Peakstone Corporation (start-up). Dr. Goldszmidt has a PhD degree in Computer Science from the University of California in Los Angeles (UCLA).

Panel Event 1

5:00 PM, Thursday, 25 Sep in Soda 405

	John Ousterhout Professor of Computer Science at Stanford University. Also Chairman of Electric Cloud. Formerly Professor of Computer Science at UC Berkeley, Distinguished Engineer at Sun Microsystems, founder and CEO of Scriptics, founder/CEO/Chairman of Electric Cloud.
slides	Chris Olston Senior Research Scientist at Yahoo! Research. Formerly Professor of Computer Science at CMU, and has also taught grad and undergrad courses at UC Berkeley and Stanford.
	Doug Terry Principal Researcher at Microsoft Research. Also adjunct faculty member of Berkeley. Formerly founder and CTO of Cogenia, and chief scientist of Xerox PARC.