Cameron Allen

Lecturer
camallen@berkeley.edu
Research Interests: Artificial Intelligence (AI)
Education: 2023, Ph. D., Computer Science, Brown University; 2018, M.S., Computer Science, Brown University; 2011, B.S., Electrical Engineering, Tufts University
Teaching Schedule (Spring 2024):
CS 188. Introduction to Artificial Intelligence, TuTh 12:30-13:59, Wheeler 150

Babak Ayazifar

Teaching Professor
517 Cory Hall, 510-642-9945; ayazifar@berkeley.edu
Research Interests: Education (EDUC); Signal Processing (SP)
Education: 2003, Ph.D., Electrical Engineering and Computer Science, Massachusetts Institute of Technology; 1989, B.S., Electrical Engineering, Caltech
Teaching Schedule (Spring 2024):
EECS 16A. Designing Information Devices and Systems I, MoWe 18:30-19:59, Pimentel 1

Michael Ball

Lecturer
784 Soda Hall; ball@berkeley.edu
Research Interests: Education (EDUC); Human-Computer Interaction (HCI)
Education: 2016, MS, Computer Science, UC Berkeley; 2015, BA, Computer Science, UC Berkeley
Office Hours: By appointment, please email me.
Teaching Schedule (Spring 2024):
CS 169L. Software Engineering Team Project, MoFr 10:30-11:59, Soda 405

Michael J. Clancy

Teaching Professor Emeritus
784 Soda Hall, 510-642-7017; clancy@cs.berkeley.edu
Research Interests: Education (EDUC)
Education: 1971, B.S., Mathematics, University of Illinois, Champaign/Urbana
Office Hours: by appointment, 784 Soda

Michael Cohen

Lecturer
mkcohen@berkeley.edu
Research Interests: Artificial Intelligence (AI)
Education: 2023, Ph. D., Engineering Science, Oxford University; 2019, M.S., Computing, Australian National University; 2015, B.A., Chemistry, Yale
Teaching Schedule (Spring 2024):
CS 188. Introduction to Artificial Intelligence, TuTh 12:30-13:59, Wheeler 150

John DeNero

Associate Teaching Professor
denero@berkeley.edu
Research Interests: Artificial Intelligence (AI); Education (EDUC)
Education: 2010, Ph.D., Computer Science, University of California, Berkeley; 2002, M.A., Philosophy, Stanford University; 2001, B.S., Mathematical & Computational Science and Symbolic Systems, Stanford University
Office Hours: See Homepage, 781 Soda
Teaching Schedule (Spring 2024):
CS 47A. Completion of Work in Computer Science 61A
CS 61A. The Structure and Interpretation of Computer Programs, MoWeFr 14:00-14:59, Pimentel 1

Dan Garcia

Teaching Professor
777 Soda Hall, 510-517-4041; ddgarcia@cs.berkeley.edu
Research Interests: Education (EDUC); Graphics (GR)
Education: 2000, Ph.D., Computer Science, UC Berkeley; 1995, M.S., Computer Science, UC Berkeley; 1990, B.S., Computer Science, MIT; 1990, B.S., Electrical Engineering, MIT
Office Hours: CS10: W 2-3pm, 777 Soda
Teaching Schedule (Spring 2024):
CS 10. The Beauty and Joy of Computing, MoWe 13:00-13:59, Soda 306
CS 194-244. Special Topics, Mo 14:30-15:59, Soda 606
CS 194-245. Special Topics, Mo 14:30-15:59, Soda 606
CS 198-2. Gamescrafters, MoWeFr 11:00-11:59, Soda 606
CS 294-244. STAR Assessments for Proficiency-Based Learning, Mo 14:30-15:59, Soda 606
CS 294-245. STAR Assessments for Proficiency-Based Learning, Mo 14:30-15:59, Soda 606

Brian Harvey

Teaching Professor Emeritus
441 Soda Hall; bh@cs.berkeley.edu
Research Interests: Education (EDUC)
Education: 1990, MA, Clinical Psychology, New College of California; 1985, PhD, Science & Mathematics Education, UC Berkeley; 1975, MS, Computer Science, Stanford; 1969, BS, Mathematics, MIT
Office Hours: by appointment, 441 Soda

Paul N. Hilfinger

Teaching Professor, Retired
787 Soda Hall, 510-642-8401; hilfingr@cs.berkeley.edu
Research Interests: Programming Systems (PS); Scientific Computing (SCI)
Education: 1980, Ph.D., Computer Science, Carnegie-Mellon University; 1973, AB, Mathematics, Princeton University

Joshua Hug

Associate Teaching Professor
779 Soda Hall; hug@cs.berkeley.edu
Research Interests: Education (EDUC)
Education: 2011, Ph.D., Electrical Engineering And Computer Science, UC Berkeley; 2003, B.S., Electrical and Computer Engineering, University of Texas at Austin
Office Hours: No office hours, on sabbatical

Christopher Hunn

Lecturer
cthunn@eecs.berkeley.edu
Teaching Schedule (Spring 2024):
CS 370. Adaptive Instruction Methods in Computer Science, Tu 17:00-18:59, Wheeler 212
CS 370-2. Adaptive Instruction Methods in Computer Science, Th 17:00-18:59, Social Sciences Building 110

Lakshya Jain

Lecturer
lakshya.jain@berkeley.edu
Education: 2020, M.S., Computer Science, University of California, Berkeley
Teaching Schedule (Spring 2024):
CS 186. Introduction to Database Systems, MoWe 09:30-10:59,

Vikram Jain

Lecturer
269 Cory Hall; vikramj@berkeley.edu
Teaching Schedule (Spring 2024):
EE 290-2. Hardware for Machine Learning, MoWe 09:30-10:59, Cory 293

Peyrin Kao

Lecturer
peyrin@berkeley.edu
Education: 2022, M.S., Electrical Engineering and Computer Science, UC Berkeley; 2021, B.A., Computer Science, UC Berkeley; 2021, B.A., Data Science, UC Berkeley
Teaching Schedule (Spring 2024):
CS 47B. Completion of Work in Computer Science 61B
CS 61B. Data Structures, MoWeFr 13:00-13:59, Dwinelle 155
CS 161. Computer Security, MoWe 18:30-19:59, Dwinelle 155

Sashank Krishnamurthy

Lecturer
284 Cory Hall; sashank@berkeley.edu
Teaching Schedule (Spring 2024):
EE 140. Linear Integrated Circuits, Fr 12:30-15:29, Cory 540AB
EE 240A. Analog Integrated Circuits, Fr 12:30-15:29, Cory 540AB

Igor Mordatch

Lecturer
mordatch@berkeley.edu
Research Interests: Artificial Intelligence (AI)
Education: 2016, Post-Doctoral Associate, EECS, UC Berkeley; 2015, PhD, Computer Science & Engineering, University of Washington

Narges Norouzi

Assistant Teaching Professor
775 Soda Hall; norouzi@berkeley.edu
Research Interests: Artificial Intelligence (AI); Education (EDUC); Biosystems & Computational Biology (BIO)
Education: 2017, PhD, Computer Engineering, University of Toronto; 2014, MS, Computer Engineering, University of Toronto; 2012, BS, Computer Engineering, Sharif University of Technology
Teaching Schedule (Spring 2024):
CS 194-244. Special Topics, Mo 14:30-15:59, Soda 606
CS 194-245. Special Topics, Mo 14:30-15:59, Soda 606
CS 294-244. STAR Assessments for Proficiency-Based Learning, Mo 14:30-15:59, Soda 606
CS 294-245. STAR Assessments for Proficiency-Based Learning, Mo 14:30-15:59, Soda 606

Gireeja Ranade

Associate Teaching Professor
ranade@eecs.berkeley.edu
Research Interests: Information, Data, Network, and Communication Sciences (IDNCS); Artificial Intelligence (AI); Control, Intelligent Systems, and Robotics (CIR); Education (EDUC)
Education: 2014, Ph.D., EECS, University of California, Berkeley; 2009, M.S., EECS, University of California, Berkeley; 2007, B.S., EECS, Massachusetts Institute of Technology
Office Hours: Changes each semester, please email, 565 Cory
Teaching Schedule (Spring 2024):
EECS 127. Optimization Models in Engineering, TuTh 12:30-13:59, Lewis 100
EECS 227AT. Optimization Models in Engineering, TuTh 12:30-13:59, Lewis 100

Jeronimo Segovia Fernandez

Lecturer
jeronimo.segovia@berkeley.edu
Education: 2015, Ph.D., Electrical and Computer Engineering, Carnegie Mellon University
Office Hours: Tuesday, 1:00 - 2:00 p.m., 284 Cory
Teaching Schedule (Spring 2024):
EE C247B. Introduction to MEMS Design, MoWe 09:30-11:00, Cory 540AB

Jean-Paul Tennant

Lecturer
269 Cory Hall; jptennant@berkeley.edu
Education: 2001, MBA, Finance, University of California, Berkeley – Haas School of Business; 1993, MS, Electrical Engineering and Computer Science, University of California, Berkeley; 1986, BSE, Electrical Engineering, University of Michigan, Ann Arbor
Office Hours: 11:15-12, 504 Cory
Teaching Schedule (Spring 2024):
EECS 16B. Designing Information Devices and Systems II, TuTh 09:30-10:59, Pimentel 1

Lisa Yan

Assistant Teaching Professor
783 Soda Hall; yanlisa@eecs.berkeley.edu
Research Interests: Education (EDUC)
Education: 2019, PhD, Electrical Engineering, Stanford University; 2015, MS, Electrical Engineering, Stanford University; 2013, BS, Electrical Engineering and Computer Science, University of California, Berkeley
Office Hours: (CS61C) M 2-3pm, 783 Soda; (Tea Hours, Data 375) Th 1-2:30pm, 783 Soda
Teaching Schedule (Spring 2024):
CS 47C. Completion of Work in Computer Science 61C
CS 61C. Great Ideas of Computer Architecture (Machine Structures), MoWeFr 10:00-10:59, Dwinelle 155

Justin Yokota

Lecturer
jyokota@berkeley.edu
Education: 2022, M.S., Computer Science, UC Berkeley; 2021, B.A., Computer Science, Mathematic, UC Berkeley
Teaching Schedule (Spring 2024):
CS 47B. Completion of Work in Computer Science 61B
CS 47C. Completion of Work in Computer Science 61C
CS 61B. Data Structures, MoWeFr 13:00-13:59, Dwinelle 155
CS 61C. Great Ideas of Computer Architecture (Machine Structures), MoWeFr 10:00-10:59, Dwinelle 155

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