Teaching Faculty | EECS at UC Berkeley

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 (Fall 2025):
EECS 16A. Foundations of Signals, Dynamical Systems, and Information Processing, 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., 784 Soda
Teaching Schedule (Fall 2025):
CS 169A. Introduction to Software Engineering, MoWe 14:00-15:29, Cory 540AB
CS 294-189. Design and Evaluation of Processes for Teaching Computer Science at Scale, Fr 10:00-11:59, Evans 5

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 (Fall 2025):
CS 61A. The Structure and Interpretation of Computer Programs, MoWeFr 13:00-13:59, Wheeler 150

Richard Dorrance

Lecturer
rdorrance@berkeley.edu

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: TBD, 777 Soda
Teaching Schedule (Fall 2025):
CS 10. The Beauty and Joy of Computing, MoWeFr 13:00-13:59, Dwinelle 145
CS 61C. Great Ideas of Computer Architecture (Machine Structures), MoWeFr 10:00-10:59, Stanley 105
CS 198-2. Directed Group Studies for Advanced Undergraduates, MoWeFr 11:00-11:59, Soda 606

Oliver Grillmeyer

Lecturer
329 Soda Hall; topramen@berkeley.edu
Education: 2001, Ph.D., Science and Mathematics Education, UC Berkeley; 1995, MS, Computer Science, UC Berkeley; 1984, BA, Computer Science, UC Berkeley
Office Hours: 2:30-4:00, 329 Soda
Teaching Schedule (Summer 2025):
CS 188. Introduction to Artificial Intelligence, MoTuWeTh 14:00-15:29, Physics Building 1

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
Teaching Schedule (Fall 2025):
CS 61B. Data Structures, MoWeFr 16:00-16:59, Lewis 100
CS 70. Discrete Mathematics and Probability Theory, Tu 15:30-16:59, Evans 10, Th 15:30-16:59, Hearst Field Annex A1

Christopher Hunn

Lecturer
cthunn@eecs.berkeley.edu
Teaching Schedule (Fall 2025):
CS 365. Introduction to Instructional Methods in Computer Science for Academic Interns, Fr 12:00-13:59, Soda 438
CS 370. Adaptive Instruction Methods in Computer Science, Tu 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

Vikram Jain

Lecturer
269 Cory Hall; vikramj@berkeley.edu
Research Interests: Computer Architecture & Engineering (ARC); Integrated Circuits (INC)
Education: 2023, PhD, Electrical and Computer Engineering, KU Leuven, Belgium; 2018, M.S., Electrical Engineering, Chalmers University of Technology, Sweden

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 (Summer 2025):
CS 161. Computer Security, MoTuWeTh 12:30-13:59, Hearst Field Annex A1
Teaching Schedule (Fall 2025):
CS 188. Introduction to Artificial Intelligence, TuTh 17:00-18:29, Wheeler 150

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

Associate 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 (Fall 2025):
CS 189. Introduction to Machine Learning, TuTh 14:00-15:29, Valley Life Sciences 2050
CS 289A. Introduction to Machine Learning, TuTh 14:00-15:29, Valley Life Sciences 2050

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 (Fall 2025):
CS C182. Designing, Visualizing and Understanding Deep Neural Networks, TuTh 11:00-12:29, Soda 306
CS 282A. Designing, Visualizing and Understanding Deep Neural Networks, TuTh 11:00-12:29, Soda 306

Jeronimo Segovia Fernandez

Lecturer
jeronimo.segovia@berkeley.edu
Education: 2015, Ph.D., Electrical and Computer Engineering, Carnegie Mellon University
Office Hours: Monday, 11:00 - 12:00 p.m., 284 Cory

Jonathan Stray

Lecturer
jonathanstray@berkeley.edu
Research Interests: Artificial Intelligence (AI)
Education: 2010, Masters Degree, Journalism, University of Hong Kong; 2000, Masters Degree, Computer Science, University of Toronto; 1998, Bachelors of Science, Computer Science, University of Toronto

Jean-Paul Tennant

Lecturer
263 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: Mon/Wed 16:30-17:00, 293 Cory
Teaching Schedule (Fall 2025):
EECS C106A. Introduction to Robotics, TuTh 14:00-15:29, Dwinelle 145
EECS C206A. Introduction to Robotics, TuTh 14:00-15:29, Dwinelle 145

Lisa Yan

Assistant Teaching Professor
783 Soda Hall; yanlisa@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: M 4:15-5:30pm (Tea Hours, Data 375, CS 39), 783 Soda; W 10-11am (CS 61C), 783 Soda
Teaching Schedule (Fall 2025):
CS 195. Social Implications of Computer Technology, Th 15:30-16:59, Physics Building 1
CS H195. Honors Social Implications of Computer Technology, Th 15:30-16:59, Physics Building 1
CS 294-189. Design and Evaluation of Processes for Teaching Computer Science at Scale, Fr 10:00-11:59, Evans 5
CS 375. Teaching Techniques for Computer Science, Th 10:00-11:59, Soda 438

Justin Yokota

Lecturer
jyokota@berkeley.edu
Education: 2022, M.S., Computer Science, UC Berkeley; 2021, B.A., Computer Science, Mathematic, UC Berkeley
Teaching Schedule (Summer 2025):
CS 61C. Great Ideas of Computer Architecture (Machine Structures), MoTuWeTh 14:00-15:29, Valley Life Sciences 2050