Andreas Mang

Department of Mathematics, University of Houston

Andreas Mang  [/an'dre:as mang/]

Associate Professor · Department of Mathematics · University of Houston → Tufts University (Fall 2026)

I am an Associate Professor at the Department of Mathematics at the University of Houston. On this page you can find information about my research and the classes I teach.

I will join the Department of Mathematics at Tufts University in Fall 2026.

Email
andreas@math.uh.edu
Phone
(+1) 713-743-7409
Office
Philip Guthrie Hoffman Hall (PGH), 614
Address
3551 Cullen Blvd., Houston, TX 77204–3008
Group
Numerical Analysis & Scientific Computing
Hours
Summer 2026: by appointment
Andreas Mang

Research Interests

The goal of my research is the design of principled and scalable algorithms at the interface of machine learning, optimization, and scientific computing that integrate data with simulation to enable data-driven discovery in the applied sciences. I am interested in methods that combine the interpretability and predictive power of mechanistic models with the flexibility of learning, and in the numerical analysis that makes them trustworthy — stability, structure preservation, and a rigorous accounting of uncertainty. My work is driven by applications in medical imaging and the life sciences, and much of it is released as open-source software for GPU and supercomputing platforms.

News

Prospective Students & Advising

Information on open positions, graduate and undergraduate advising, and letter-of-recommendation requests is on the advising page. Before emailing me about positions or recommendation letters, please read it.

Older News

2025
  • Attended the IMSI workshop “Optimal Control and Decision Making Under Uncertainty for Digital Twins” in Chicago, IL, October 27-31, 2025.
  • Co-organized (w/ E. Hartman & N. Charon (UHouston)) a mini-symposium on “Recent Advances in High-Dimensional and Geometric Data Analysis” at the 2025 SIAM TXLA Annual Meeting in Austin, TX, September 26-28, 2025.
  • Jannatul Chhoa successfully defended her dissertation.
  • Attended ICCOPT in Los Angeles, CA, July 19-24, 2025.
  • Attended SIAM AN25 in Montreal, Quebec, Canada, July 28-August 1, 2025.
  • Co-organized ChAMELEON summer school at the University of Houston, TX.
  • Participated in the “Inverse Methods for Complex Systems under Uncertainty ASCR Workshop” sponsored by the U.S. DOE, Washington, DC, June 10-12, 2025.
  • Co-organized (w/ A. K. Saibaba (NCState)) a mini-symposium on “Data- and Model-driven Approaches for Inverse Problems” at SIAM AN25 in Montreal.
  • Attended the NSF Computational Mathematics Meeting at the University of Utah, May 8-9, 2025.
  • Presented work at the TAMIDS SciML Summer School at Texas A&M, May 12-16, 2025.
  • Co-organized (w/ L. Cappanera, Y. He & M. Wang) the CBMS Conference “Research at the Interface of Applied Mathematics and Machine Learning” (NSF Award #2430460).
  • Co-organized (w/ J. Rudi & I.-G. Farcas) a mini-symposium at SIAM CSE25 in Fort Worth, TX, March 3-7, 2025.
  • Presented research at DTE & AICOMAS in Paris, France, February 17-21, 2025.
2024
  • Co-organized a mini-symposium (w/ M. Chung (Emory)) at SIAM MDS24, Atlanta, GA, October 21-25, 2024.
  • Co-organized a mini-symposium (w/ D. Onofrei (UHouston)) at SIAM TX-LA, Baylor University, Waco, TX, October 11-13, 2024.
  • Presented research at MOPTA at Lehigh University, Bethlehem, PA, August 14-16, 2024.
  • Presented research at the INFORMS Optimization Society Conference at Rice University, Houston, TX.
  • Co-organized (w/ A. Arnold (WPI)) a mini-symposium at CMBE, George Mason University, Arlington, VA.
  • Co-organized (w/ J. Modersitzki (ULuebeck) & J. Lellmann (ULuebeck)) a mini-symposium at SIAM IS, Atlanta, GA.
  • Co-organized (w/ E. Newman (Emory) & S. Gamble (NREL)) a mini-symposium at SIAM IS, Atlanta, GA.
  • Presented work on CLAIRE at SIAM UQ24, Trieste, IT, February 27-March 1, 2024.
  • Co-organized (w/ A. Arnold (WPI)) a mini-symposium at SIAM UQ24, Trieste, IT.
  • Organized a SIAM Minisymposium at JMM24, San Francisco, January 3-6, 2024.

For news from 2023 and earlier, see the news archive.