Andrea Bertozzi Research Group
- Current Postdocs (Former Postdocs)
- Justin Baker, PhD in Mathematics, Univ. of Utah, CAM Hedrick Adj. Asst. Prof., deep learning data science
- Sarah Burnett, PhD in Mathematics, Univ. Maryland, PIC Hedrick Adj. Asst. Prof.
- Willem Diepeeven, PhD in Mathematics, Univ. Cambridge UK, CAM Hedrick Adj. Asst Prof., manifold learning, graph methods, data science
- Lingyun Ding, PhD in Mathematics, UNC Chapel Hill, PI Hedrick Adj. Asst. Prof.
- Adrien Weihs, PhD Univ. Manchester (UK), FAM Hedrick, Adj. Asst. Prof., graph based methods in machine learning/data science
- Current Ph.D. Students (Advanced to Candidacy) (Former Students)
- James Chapman (joint with Guido Montufar)
- Hong Kiat Tan, systems of conservation laws
- PhD Students (passed qualifiers)
- Harris Hardiman-Mostow
- Evan Davis
- Jack Luong
- Zheng Tan
- Jack Mauro
- Matthew Tyler
Current Projects
- Simons Math + X This is a ten 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 working on algorithms for quantum sensing with collaborators in the California NanoSystems Institute.
- Current Research Grants and Contracts
- Department of Energy, Office of Science, Award Number: DE-SC0025589, Principled, Structure-Preserving, and Uncertainty-Quantified Machine
Learning for Scientific Data, 9/1/24-8/1/27, in collaboration with Bao Wang (Utah) and Los Alamos National Laboratory
- NSF DMS-2436343 Collaborative Research: MATH-DT: Mathematical Foundations of AI-assisted Digital Twins for High Power Laser Science and Engineering, 10/24-9/27, joint project with Sergio Carbajo (UCLA EE) and Bao Wang (Utah)
- NSF DMS-2407006 Modeling and Analysis of Particle Laden Flow, 9/24-8/29
- NSF OSI-2326840 QuSeC-TAQS: Distributed Entanglement Quantum Sensing of Atmospheric and Aerosol Chemistries, Prineha Narang, PI, 9/23-8/27
- NSF CCF-2345256 Collaborative Research: RAPID: Rapid computational modeling of wildfires and management with emphasis on human activity, 9/15/23-8/31/24, with Stan Osher as coPI.
- NSF DMS-2318817 ATD: Active Learning Activity Detection in Multiplex Networks of Geospatial-Cyber-Temporal Data, 9/23-8/26
- ONR grant N00014-23-1-2565, Novel Machine Learning Methods for Resolving Coherent
Structures in Multiscale Physical Simulations, 6/23-6/26
- NSF DMS-2152717, Collaborative Research: Differential Equations Motivated
Multi-Agent Sequential Deep Learning: Algorithms, Theory, and Validation, collaborative project with Bao Wang from U. Utah, 7/22-6/25
- National Geospatial-Intelligence Agency Award No. #HM0476-21-1-0003 , Active Learning Methods on Graphs for Image, Video and
Multispectral Datasets, 5/21-5/25
- Simons Math + X Investigator Award number 510776. 7/2017-6/2027
UCLA * Department of Mathematics *