Former Students of Andrea L Bertozzi
All degrees are PhD in Mathematics or Applied Mathematics unless otherwise specified
Xia Li (UCLA 2022) Mathematical modeling of epidemics and adversarial learning in distributed systems , Microsoft
Yujia Qi (UCLA MAE 2022) Microvascular Hydrodynamics: Structure and
Adaptation Principles, co-advised with Marcus Roper
Kaiyan Peng (UCLA 2022) Mathematical Modeling of Disease Dynamics, Opinion Dynamics, and Environmental
Crimes, Facebook
Kyung Ha (UCLA 2022) Mathematical Modeling and Theory of Microencapsulation and Inertial Migration, Postdoc Purdue Univ.
Kevin Miller (UCLA 2022) Active Learning and Uncertainty in Graph-Based Semi-Supervised Learning , Postdoc UT Austin
Yonatan Dukler (UCLA 2021), Part I: The geometry and manipulation of natural data for optimizing neural networks
Part II: A theory for undercompressive shocks in tears of wine,
Applied Data Scientist, Amazon AWS
Thomas K. Tu (UCLA 2021), Subgraph Matching on Attributed Multiplex Networks with Applications to Knowledge Graphs Senior Scientist, STR Research
Jacob Moorman (UCLA 2021), joint with Deanna Needell Stochastic Optimization and Subgraph Search
Hao Li (UCLA 2020), Graph Based Learning and Data Analysis,
Akuna Capital
Christian Parkinson (UCLA 2020), joint with Stanley Osher,
Models for Human Navigation and Optimal Path Planning Using Level Set Methods and
Hamilton-Jacobi Equations, Postdoc Univ. Arizona
Baichuan Yuan (UCLA 2020), Large-scale and Deep Spatiotemporal Point-Process Models, Research Scientist, Facebook
Hannah Dröge (Master Thesis in Computer Science, Univ. Siegen, 2019, Prof. Dr. Michael Möller joint advisor)
Unsupervised Mitral Valve Segmentation in Echocardographic Videos base on Matrix Factorization
Markus Plack (Master Thesis in Computer Science, Univ. Siegen, 2019, Prof. Dr. Michael Möller joint advisor)
Nonprobabilistic Topic Modeling of Short Texts with Distributed Representations
Geoffrey S. Iyer (UCLA 2018)
Graph-Based Data Fusion Methods , Google CA
Zachary Mark Boyd (UCLA 2018)
Community detection using total variation and surface
tension
Postdoc, UNC Chapel Hill; tenure track BYU starting fall 2021
Fangbo Zhang (UCLA 2018)
A Blob Method for Advection-Diffusion-Reaction Systems with Application to Robotic Swarms
Facebook
Xiyang Luo (UCLA 2018)
Analysis and Application of Graph-Based Semi-Supervised Learning Methods
Google CA
Zhaoyi Meng (UCLA 2017)
High Performance Computing and Real Time Software for
High Dimensional Data Classification
Google CA
Jeffrey Wong (UCLA 2017)
Modeling and analysis of thin-film incline flow:
bidensity suspensions and surface tension effects
Griffiths Assistant Research Professor, Duke University
Travis Robert Meyer (UCLA 2017)
Energy Models for Signal Processing and Matrix Factorization
Charles Zachary Marshak (UCLA 2017-joint with Mason Porter)
Applications of Network Science to Criminal Networks, University Education, and Ecology
Signal Analysis Engineer at NASA Jet Propulsion Lab
Joseph Woodworth (UCLA 2016)
Numerical Optimization Methods
for Image Processing and Machine Learning
Google, CA
Konstantin Dragomiretskiy (UCLA 2015)
Variational Methods in Signal Decomposition and
Image Processing
Associate Strategist, Securitized Products Group, Morgan Stanley, New York, NY
Huiyi Hu (UCLA 2015)
Graph Based Models for Unsupervised
High Dimensional Data Clustering
and Network Analysis
Research Engineer, Google, CA
Ekaterina (Merkurjev) Rapinchuk (UCLA 2015)
Variational and PDE-based methods
for big data analysis, classification and image
processing using graphs
UC Presidents Postdoctoral Fellowship, UCSD; Assistant Professor, Michigan State Univ.
Alan Mackey (UCLA 2015 - joint with Stan Osher)
Part I: Steady States in Two-Species Particle Aggregation; Part II:
Sparse Representations for Multiscale PDE
Google, CA
Joseph R. Zipkin (UCLA 2014)
Mathematical Models and Methods for Behavior
in Social Networks: Urban Crime, Self-Exciting
Interactions, and Information Spread
Technical Staff Member, MIT Lincoln Laboratory, Lexington MA
Alexey Stomakhin (UCLA 2013 - joint with Joseph Teran)
Part I: Reconstruction of Missing Data in Social
Networks Based on Temporal Patterns of Interactions
Part II: Constitutive Modeling in Solid Mechanics for
Graphics Applications
Weta Digital
Hui Sun (UCLA 2013)
Singular Solutions and Pattern Formation in Aggregation Equations
Postdoc, UCSD; Assistant Prof. CSULB
Tijana Kostic (UCLA 2013)
Threshold Dynamics for Statistical Density Estimation and Graph Clustering
Microsoft
James von Brecht (UCLA 2012)
Pattern Formation in Particle Interactions
Postdoc, UCLA Mathematics 2012-2014; currently Assoc. Prof. CSU Long Beach
Laura Smith Chowdhury (UCLA 2012)
Incorporating Spatial Information into Density
Estimates and Street Gang Models
Postdoc, Information Sciences Institute, USC 2012-13; Assoc. Prof. Cal State Fullerton
Rachel Anne Hegemann (UCLA 2012)
Spatially embedded social networks: dynamic models
and data reconstruction
Fullbright Fellowship, Univ. Muenster, 2012-2014; Research division of SMA Solar Technology, 2014-
Erik Lewis (UCLA 2012)
Estimation Techniques for Self-Exciting Point Processes with Applications to Criminal Behavior
Head of Customer Success, SigOpt San Francisco
Matthew Mata (UCLA 2011)
Particle-laden thin film flow: An alternating direction implicit scheme and
comparison between theory, numerical simulations, and experiments
Postdoctoral Scholar, UCSB Mathematics, 2011-14; Instructor, El Camino College, Torrence, CA 2014-present
Jacob Bedrossian (UCLA 2011, Joseph Teran co-advisor)
Part I: A Virtual Node Method for Elliptic
Interface Problems
Part II: Local and Global Theory of
Aggregation Equations with Nonlinear Diffusion
NSF Postdoctoral Scholar, Courant Institute, NYU, 2011-14; currently Professor, Univ. Maryland
Alexander S-Ban Chen (UCLA 2011)
Boundary Tracking in Large Data Sets and Modeling the Evolution of Landscapes
Postdoctoral Scholar, SAMSI and UNC Chapel Hill, 2011-15; GE Research 2015-2019;
Asst. Prof. tenure track Cal State Dominguez Hills, 2019-present
Nancy Rodriguez-Bunn (UCLA 2011)
Applied Partial Dirential Equations in Crime Modeling and
Biological Aggregation
NSF Postdoctoral Scholar, Stanford University, 2011-14; currently Assoc. Professor, Colorado Boulder
Wenhua Gao (UCLA 2011)
The Laplace-Beltrami Operator in a Level Set
Framework and Its Applications
Intern PIMCO, Newport Beach, CA, Spring 2011; Financial Engineer, OTC Derivative team, Bloomberg LP, New York, 2011-present; VP Nomura 2018-present
Wangyi (Bobby) Liu (UCLA 2011)
Two Dynamical System Models Based on Real-World Scenarios: a Swarming Control Model and a Surface Tension Model
Postdoctoral Scholar,
Petascale Initiative , Lawrence Berkeley National Laboratory, 2011-13; Google Shanghai 2013-2014; Google, CA 2014-
Yifei Lou (UCLA 2010 - joint with Stefano Soatto (CS))
Local, Non-local and Global Methods in Image Reconstruction
Postdoctoral Scholar, Georgia Tech (2011), UCSD/UCLA (2012-13); Postdoc UC Irvine 2013-14; currently Assoc. Professor, UT Dallas
Yanghong Huang (UCLA 2010)
Self-Similar Blowup Solutions of the
Aggregation Equation
Postdoctoral Scholar, Simon Fraser University, 2010-2012; Chapman Fellow in Mathematics, Imperial College London, 2012-2015, Lecturer (tenure) The University of Manchester, UK
Julia Dobrosotskaya (UCLA 2009)
Wavelet analogue of Ginzburg-Landau
energy, its $\Gamma$ convergence and applications
Postdoctoral Scholar, Univ. of Maryland 2009-13; Assoc. Prof. Case Western Reserve University 2013-
Hsiang-Wei Lu (UCLA Mechanical and Aerospace Engineering, 2007, CJ Kim co-advisor)
Fluid Dynamics of an Electrowetting Drop: Theories, Simulations, and Experiments
Senior Mechanical Engineer at Autonomous Medical Devices Inc.
Benjamin Cook (UCLA 2007)
Lubrication Models for Particle-Laden Thin Films
Arete Associates, Arlington, VA
Alan Gillette (UCLA 2006)
Image Inpainting Using a Modified Cahn-Hilliard Equation
President, Heaviside Wealth Management, Financial Services (2010-2017); Data Scientist, Appriss (2016-present)
Yao-Li Chuang (PhD in Physics, Duke University 2006)
Stability and Scalability of 2D Swarming Patterns
Postdoctoral scholar, UC Irvine, Dept. of Mathematics 2007-8,
Univ. of Texas Medical Center 2009-10;Univ. New Mexico Department of Pathology;
Cal State U Northridge.
John Greer (Duke University 2003)
Fourth order diffusions for image processing
NSF Postdoctoral Fellow,
Courant Institute of Mathematics Sciences, 2004-7
National Geospatial Intelligence Agency, 2007-present
Ted Welsh (Duke University 2003)
Mathematical modeling of landscape erosion: convergence, singularities, and shocks in a continuous, trasport-limited model
Professor at
Westfield State University
Liya Zhornitskaya (Duke University 1999)
Positivity Preserving Numerical Schemes for Lubrication Equations
Postdoc, Univ. of Bonn, Germany and Univ. of Utah, 1999-2003, now deceased.
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