Andrea Bertozzi Research Group

Current Postdocs   (Former Postdocs)

• Shiba Biswal, PhD in Mechanical and Aerospace Engineering, MS in Mathematics, Arizona State Univ., Hedrick Adj. Asst. Prof.
• Sean Carney, PhD in Mathematics, Univ. Texas Austin, CAM/Hedrick Adj. Asst. Prof.
• Weiqi Chu microfluids, multiscale modeling, model reduction
• Karthik Elamvazthuti, PhD in Mechanical Engineering, ASU, CAM Asst. Adj. Prof.
• Hangjie Ji, PhD (Duke) - PIC Instructor, fluids and PDE
• Wen Li, PhD Clarkson Univ. Asst. Adj. Prof., numerical PDE
• Michael Lindstrom, PhD (UBC) - PIC Instructor and NSERC Postdoc, fluids and modeling
• Wumaier Maimaitiyiming, PhD in Mathematics, Iowa State University, numerical analysis and PDE

Current Ph.D. Students (Advanced to Candidacy)   (Former Students)

• Bohan Chen, optimization, image and signal processing
• Kyung Ha, surface tension microfluidic modeling and analysis
• Jacob Moorman, multichannel networks
• Thomas Tu, multichannel networks
• Yoni Dukler, thin film fluids and machine learning
• Kevin Miller, Machine learning, Bayesian uncertainty quantification, active learning
• Kaiyan Peng, optimal path planning, networks
• Dominic Yang, multichannel Networks
• Xia Li, multichannel networks and epidemics
• Yurun Ge, Multichannel Networks

PhD Students (passed qualifiers)

Current Projects

Simons Math + X This is a five year project in collaboration with the California NanoSystems Institute and the Department of Mechanical Engineering. We are working on microfluidics applications.

Knowledge Graphs We are developing mathematical methods and theory for analyzing data organized on knowledge graphs.

COVID-19 I am doing research related to modeling the spread of COVID-19.

Subgraph Isomorphisms We are looking at subgraph isomorphisms on multichannel networks

We are working with a community organization in Los Angeles, the Gang Reduction Youth Development program.

We are part of a collaborative project on deep learning, with Univ. and UC Irvine.

Current Research Grants and Contracts

1. Argonne National Laboratory, 1F-60314, 1/1/21-12/30/21, Developing Machine Learning Models and Algorithms for including Machine-Learning Surrgogates into Design and Control Problems, subaward to UCLA, Sven Leyffer (ANL) PI.
2. NSF DMS-1952339, 8/15/20-7/31/23, FRG: Collaborative Research: Robust, Efficient, and Private Deep Learning Algorithms, with S. J. Osher, B. Wang (Univ. Utah). Collaborative project with J. Xin at UC Irvine.
3. NSF DMS-2027277, ATD: Algorithms for Threat Detection in Knowledge Graphs, 9/2020-8-2023, with Jeff Brantingham, coPI.
4. NSF grant DMS-2027438, (Mason Porter coPI), RAPID: Analysis of Multiscale Network Models for the Spread of COVID-19, 4/15/2020 - 3/31/2021
5. NSF grant DGE-1829071, NRT-HDR: Modeling and Understanding Human Behavior: Harnessing Data from Genes to Social Networks, 9/2018-8/2023, ALB current PI; Wei Wang original PI.
6. DARPA, Variational Methods on Graphs for Identification on Transaction Networks, Feb 1 2018-Jan 29, 2022. Award number FA8750-18-2-0066.
7. ATD: Sparsity Models for Forecasting Spatio-Temporal Human Dynamics NSF DMS-1737770, 9/15/17-8/31/21, with P. J. Brantingham and S. J. Osher
8. Simons Math + X Investigator Award number 510776. 7/2017-6/2022
9. City of Los Angeles, Gang Reduction Youth Development (GRYD) Analysis Program, subaward to UCLA from CSULA, 3/2016-6/2021; P. J. Brantingham PI.

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UCLA * Department of Mathematics *