# Faculty

### Department Chair

Jennifer Chubb's general research area is logic and computability theory, in particular computable structure theory. She is also studying quantum computing & quantum logic.

**Education**:

- PhD, Mathematics, George Washington University, 2009
- MS, Applied Mathematics, George Mason University, 2003
- BS, Physics & Applied Mathematics, George Mason University, 1999

### Full-Time Faculty

Cody Carroll is an assistant professor with joint appointments in the Department of Mathematics and Statistics and the Master's in Data Science program (MSDS). He holds a PhD and MS in Statistics from the University of California, Davis and a BS in mathematics from the University of Texas at Austin. His methodological research interests focus on functional and longitudinal data, particularly in the context of human growth and aging, and his interdisciplinary work has spanned a wide range of...

**Education**:

- UC Davis, PhD in Statistics, 2021
- UC Davis, MS in Statistics, 2017
- UT Austin, BS in Mathematics, 2014

**Expertise**:

- Time warping & curve registration
- Multivariate functional data
- Statistical consulting
- Communication through statistics

Stephen Devlin is a Professor in the Department of Mathematics and Statistics and the Master’s in Data Science program (MSDS). He has also served as department chair and director of the undergraduate data science program. Stephen has a bachelor’s degree from Manhattan College in New York, and a Ph.D. in mathematics from the University of Maryland. He was a C.L.E. Moore Instructor at MIT before moving to the University of San Francisco. His research interests include both pure and applied...

**Education**:

- PhD, Mathematics, University of Maryland, 2001

Renee Brunelle Hubert has been fascinated by mathematics since a very young age. After graduating magna cum laude from USF with a BS in mathematics in 1994, she attended UC San Diego on a Cota Robles Fellowship, earning an MA in mathematics in 1997 with emphases in complex analysis and abstract algebra. She currently specializes in making mathematics accessible and exciting to non-majors, and investigating ways to integrate technology into the learning experience.

**Education**:

- MA, Mathematics, University of California, San Diego, 1997

Daniel Jerison studies probability theory. He is interested in the properties of random objects, such as random planar maps and abelian sand piles, and in the convergence of Markov chain Monte Carlo algorithms.

**Education**:

- Stanford University, PhD in Mathematics, 2016
- Harvard University, BA in Mathematics, 2007

Emille D. Lawrence is a low-dimensional topologist. Her mathematical interests include braid groups, geometric group theory, and spatial graphs. She is also an advocate for broadening participation in the mathematical sciences through outreach and mentoring.

**Education**:

- PhD, Mathematics, University of Georgia, 2007
- BS, Mathematics, Spelman College, 2001

Tristan Needham (son of the distinguished social anthropologist Rodney Needham) grew up in Oxford, England, where he attended the Dragon School (with Stephen Wolfram and Hugh Laurie).

He studied physics at Merton College, Oxford, before moving to the Mathematical Institute, where he enjoyed the great privilege of studying black holes under the supervision of Sir Roger Penrose.

Tristan received his DPhil in 1987, and joined the faculty of the University of San Francisco in 1989. His current...

**Education**:

- DPhil, Mathematics, Oxford University, 1987

Daniel's research interests are in large scale optimization modeling and algorithms. His postdoctoral research in the UCLA Department of Radiation Oncology focused on applications of optimization in radiation therapy, medical imaging, and machine learning.

**Education**:

- PhD, Mathematics, UCLA

Sam Roven is an arithmetic Geometer. His mathematical interests include the connections between number theory and geometry, in particular, finding rational solutions to systems of multi-variable polynomial equations.

Sam grew up in the bay area and graduated with a BS in mathematics from USF in 2016. He then went on to receive his PhD in mathematics from the University of Washington in Seattle. He is especially passionate about math education and hopes to create more opportunities to expose...

**Education**:

- University of Washington, PhD in Mathematics, 2022
- University of San Francisco, BS in Mathematics, 2016

Steve Trettel is a geometric topologist, interested in 3-manifolds, interdisciplinary applications of modern geometry, and mathematical illustration. Steve was born and raised in Minnesota, and received his BS in Mathematics at the University of Minnesota before moving to UC Santa Barbara for his PhD. Before joining the University of San Francisco, Steve was a Szego Assistant Professor at Stanford University, and a Postdoc at Brown University's Institute for Computational and Experimental...

**Education**:

- UC Santa Barbara, PhD in Mathematics, 2019
- University of Minnesota, BS in Mathematics, 2013

Cornelia Van Cott is a geometric topologist, studying knots, surfaces, and the interplay between three and four-dimensional topology.

**Education**:

- PhD, Mathematics, Indiana University, 2008

Shan is an assistant professor at the University of San Francisco and currently teaching full time for USF's Data Science programs. Her research interests are nonparametric estimation, prediction models, and applied statistics. Shan also works closely with experts from different fields. She has experiences in NIH and NSF grants in cancer research and GIS. She holds a PhD in statistics from Purdue University (IUPUI campus) and a BS in mathematics from Fudan University in China.

**Education**:

- PhD, Statistics, Purdue University, 2015
- BS, Mathematics, Fudan University, 2009

James is an Associate Professor of Statistics and Co-Director of the BS in Data Science program at the University of San Francisco. He has joint appointments in the Department of Mathematics and Statistics and the MS in Data Science program, where he has developed and taught courses in Bayesian statistics, machine learning, data science, and network analysis.

In research, James develops new statistical and computational techniques to model, analyze, and explore high-dimensional and relational...

**Education**:

- PhD, Statistics and Operations Research, University of North Carolina, 2015
- MS, Mathematical Sciences, Clemson University, 2010
- BS, Mathematics, Campbell University, 2008
- BS, Chemistry, Campbell...

Dynamical systems theory including coupled oscillators, Josephson junction arrays, injection lasers, sigma-delta data converters, and algorithmic analysis of microarray data

**Education**:

- PhD, Mathematics, Cornell University, 1999

### Part-Time Faculty

For Professor Damon, teaching math is a second career; before teaching she worked in the finance industry as a bond fund manager. In her spare time she likes working math problems, jogging, hiking, reading, and baking sourdough bread.

**Education**:

- San Francisco State University, MA in Mathematics, 2011
- UC Berkeley, BA in Applied Mathematics, 1983
- UC Berkeley, BA in Economics, 1983

Mary attended UC Berkeley as an engineering major right after high school, but due to circumstances both in and beyond her control dropped out. She went on to do many other things: office administrator, office manager, construction manager and for over 30 years an on again, off again bartender. She felt school was no longer important, but when the opportunity presented itself, returned in her late 30s to complete something she had started.

Mary got her BA and MA in Mathematics from SFSU...

**Education**:

- San Francisco State University, MA in Mathematics, 2007
- San Francisco State University, BA in Mathematics, 2002

**Expertise**:

- Mathematics

Dmitriy is an adjunct math professor at the University of San Francisco.

**Education**:

- UC Berkeley, BS in Math (with High Honors), 2003
- Stanford University, PhD in Math, 2010

**Education**:

- PhD, Mathematics, Monash University, 2011

Although Professor Elizabeth Mickaily-Huber's degrees are in chemical engineering, her specialty is in computational fluid dynamics (CFD). Over the years, besides using CFD to solve real-world problems, she has taught engineering, environmental science, and mathematics at the University of San Francisco, San Francisco State University, the Swiss Federal Institute of Technology at Lausanne (Switzerland), and CSU Los Angeles.

**Education**:

- University of California, San Diego, PhD in Chemical Engineering
- University of California, San Diego, MS in Chemical Engineering
- University of California, Berkeley, BS in Chemical Engineering

**Education**:

- MS, Operations Research, Carnegie Mellon University

Meeting students: Gleeson 4th Floor

Mitchell Schoenbrun moved from New Jersey to San Francisco in 1977 where he began a career in computer consulting. He began a second career as a teacher in 2001.

His interests outside of mathematics include astronomy, scuba diving, and woodworking. He lives in San Francisco with his wife Elva and four cats – Lola, Henry, Walt, and Cubby.

**Education**:

- Haverford College, BA in Astrophysics, 1977
- San Francisco State, MA in Mathematics, 2008

Van Tran has been a dedicated instructor at USF for more than 10 years.

**Education**:

- UCLA, MA in Mathematics
- UC Davis, BS in Mathematics
- UC Davis, BA in Economics

### Faculty Emeritus

Millianne Lehmann** **received her M.A. in Mathematics from San Francisco State University in 1963 and joined the USF faculty 1965. Her areas of interest include mathematics education and technology-assisted instruction in mathematics. She was project director for the USF Middle School Math Institute (an NSF-funded program from 1984–1986. She has co-authored four books, the latest of which, Quantitative Methods for Business, a Conceptual, Excel-Based Approach (co-authored with Paul Zeitz) will be...

Professor Pacheco's main research interest is parallel computing. He's been involved in the development of the MPI Standard for message-passing. His book *Parallel Programming with MPI* is an elementary introduction to programming parallel systems that use the MPI 1 library of extensions to C and Fortran. His book *An Introduction to Parallel Programming* is designed to teach inexperienced programmers how to program both shared- and distributed-memory parallel systems.

**Education**:

- PhD, Mathematics, Florida State University, 1983

**Expertise**:

- Parallel computing

John Stillwell was born in Melbourne, Australia, and taught at Monash University from 1970 until 2001, before moving to USF in 2002.

He was an invited speaker at the International Congress of Mathematicians in 1994, and his mathematical writing has been honored with the Chauvenet Prize of the Mathematical Association of America in 2005 and the book award of the Association of Jesuit Colleges and Universities in 2009.

Among his best-known books are *Mathematics and Its History* (3rd edition...

**Education**:

- PhD, MIT, 1970

Originally trained as an ergodic theorist (PhD University of California, Berkeley, 1992), today Paul Zeitz's overriding interest is mathematical problem solving and the promulgation of an Eastern European-inspired problem-solving culture to American audiences.

Towards this end, he wrote *The Art and Craft of Problem Solving* in 1998, co-founded the Bay Area Mathematical Olympiad in 1999, and co-founded the San Francisco Math Circle in 2005. In 2009 he produced a series of video lectures for...

**Education**:

- PhD, University of California, Berkeley, 1992