Stanford University
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Chungheon Shin
Research Engineer, Civil and Environmental Engineering
BioChungheon Shin is the Research Director of the Codiga Resource Recovery Center at Stanford University. His research advances sustainable water and environmental technologies through process intensification, environmental biotechnology, and resource recovery. By integrating biological and physicochemical processes with mechanistic and data-driven computational models, he develops engineering solutions that recover clean water, energy, and valuable resources. His work spans multiple scales, from fundamental reaction kinetics to pilot- and demonstration-scale systems, with a strong emphasis on translating research into real-world applications.
His current research focuses on three complementary areas: process intensification, resource recovery, and digital optimization of water infrastructure. He has led the development of the Staged Anaerobic Fluidized-bed Membrane Bioreactor (SAF-MBR), an energy-positive wastewater treatment technology that has advanced to demonstration scale, and is developing pilot-scale methane-to-protein technologies that convert waste methane into sustainable protein through efficient gas transfer and environmental biotechnology. His research also integrates mechanistic understanding with data-driven modeling to optimize biological treatment processes and accelerate the deployment of next-generation water technologies.
Dr. Shin received his Ph.D. in Environmental Engineering from Inha University in South Korea, where he developed the SAF-MBR under the supervision of Professor Jaehoe Bae and Professor Perry L. McCarty. He subsequently joined the Department of Civil and Environmental Engineering at Stanford University as a postdoctoral scholar under Professor Craig S. Criddle, where he expanded his research in environmental biotechnology, process intensification, and sustainable water infrastructure. -
Dongjae Shin
Postdoctoral Scholar, Photon Science, SLAC
BioMy current research focuses on the design of catalytic materials. My approaches to this topic include:
(1) First-principles calculation: using density functional theory (DFT), I have studied atomistic phenomena on catalytic surfaces with the purpose of developing materials with improved catalytic capability under the philosophy of rational design and high-throughput screening.
(2) AI-accelerated first-principles calculation: I have applied AI algorithms, e.g., evolutionary algorithm, Bayesian optimization, to the acceleration of computationally costly processes, enabling exploration of larger catalytic design space.
(3) AI-steered adaptive experimentation: I have applied active learning methods, e.g., uncertainty-based sampling, Bayesian optimization, to construct proxies of whole landscape of catalytic performance, or to perform multi-objective optimization. This is the brain of self-driving laboratory (SDL).
Applications include heterogeneous catalysis for exhaust emission control, hydrogen production, utilization of emission gas to realize carbon neutralization, and discovery of battery materials. -
Gi-Wook Shin
William J. Perry Professor, Senior Fellow at the Freeman Spogli Institute for International Studies and Professor, by courtesy, of East Asian Languages and Cultures
Current Research and Scholarly InterestsKorean democratization; Korean nationalism; U.S.-Korea relations; North Korean politics; reconciliation and cooperation in Northeast Asia; global talent; multiculturalism; inter-Korean relations