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Jangho Park

Postdoctoral Researcher, Computational Research Division


Contact Information

Jangho Park
MS 50A-3111
Lawrence Berkeley National Lab
1 Cyclotron Rd.
Berkeley, CA 94720

510-486-7286 (Office)

JanghoPark@lbl.gov
Google Scholar


Affiliation and Research Interests

I am a postdoctoral researcher in the Center for Computational Sciences and Engineering (CCSE) in the Computational Research Division of the Computing Sciences Area at the Lawrence Berkeley National Laboratory.

Broadly, my research is on Decision Making under Uncertainty. More specifically, I work on various aspects of Stochastic Programming and Distributionally Robust Optimization and their applications to groundwater management, water allocation, and energy problems. Currenlty, I am involved in three projects

  1. Enabling Water-Energy Decision Support Using Watershed-scale Surrogate Models (LRDR),
  2. Institute for the Design of Advanced Energy Systems (IDAES),
  3. National Alliance for Water Innovation (NAWI).

Previous

I received my PhD in Operations Research from the Ohio State University in May 2019. My dissertation research studied stochastic optimization, particularly variance reduction for sequential sampling procedure in stochastic programming and data-driven distributionally robust optimization with applications in water resources management.

Manuscripts

Journal Articles

Conference Talks

  • Distributionally robust optimization

    1. UC Santa Cruz Applied Mathematics seminar, Santa Cruz, CA, Nov 23, 2020.
    2. INFORMS Annual Meeting, National Harbor, MD, Nov 8-11, 2020.
    3. INFORMS Annual Meeting, Seattle, WA, Oct 20-23, 2019.
    4. CS Seminars at the Berkeley Lab, Berkeley, CA, Oct 3, 2018.
    5. INFORMS Annual Meeting, Houston, TX, Oct 22-25, 2017.

  • Hyperparameter Tuning in Neural Networks for Time-Series Data

    1. SIAM Conference on Computational Science and Engineering, Fort Worth, TX, March 1-5, 2021.
    2. INFORMS Annual Meeting, National Harbor, MD, Nov 8-11, 2020.
    3. CS Area Postdoc Symposium, Berkeley, CA, Jan 30, 2020.

  • Variance reduction for sequential sampling in stochastic programming

    1. INFORMS Annual Meeting, Phoenix, AZ, Nov 4-7, 2018.
    2. INFORMS Annual Meeting, Houston, TX, AZ, Oct 22-25, 2017.
    3. INFORMS Computing Society Conference, Austin, TX, January 15-17, 2017.
    4. INFORMS Annual Meeting, Nashville, TN, November 13-16, 2016.
    5. INFORMS Annual Meeting, Philadelphia, PA, November 1-4, 2015.