Stephen T. Wong

Stephen T. Wong, PhD

John S. Dunn Presidential Distinguished Chair in Biomedical Engineering, Full Member, Research Institute
Professor of Computer Science and Bioengineering in Oncology, Academic Institute
Associate Director, Cores, Biostatistics and Bioinformatics
Houston Methodist
Weill Cornell Medical College

Dr. Wong holds the John S. Dunn, Sr. Distinguished Endowed Chair in Biomedical Engineering; he is also a Professor of Radiology, Pathology, Laboratory Medicine, Neurology, and Neurosciences, the Associate Director of Translational Research at Methodist Cancer Center, and Chief of Medical Physics and Chief Research Information Officer at Houston Methodist Hospital. In addition, he serves as the Founding Director of the Ting Tsung and Wei Fong Chao Center for BRAIN (Bioinformatics Research and Imaging in the Neurosciences) and Founding Director of the Center for Modeling Cancer Development at Houston Methodist Research Institute. He also holds a dozen of other academic posts across institutions in Texas Medical Center as well as overseas universities and medical schools.

An internationally acclaimed bioengineer and imaging scientist, Dr. Stephen Wong has led teams that developed production automation for first very large scale integration (VLSI) 1MB computer memory chip and the largest online brokerage trading system, and contributed to the first hospital-wide digital radiology image management system in US academic medical centers.

Dr. Wong has more than twenty years of research and management experience in industry and academia, including Hewlett-Packard, AT&T Bell Laboratories, the Japanese Fifth Generation Computer Systems Project, Philips Medical Systems and Royal Philips Electronics, Charles Schwab, University of California - San Francisco/Berkeley, Harvard University and Houston Methodist Hospital. He received his senior executive education from the MIT Sloan School of Management, Stanford University Graduate School of Business and Columbia University Graduate School of Business. He holds many patents and has published over 300 peer-reviewed papers and four books. He also serves on and chairs NIH study panels, conference program committees, and the editorial boards of twelve scientific journals. As an international authority, he is sought as a speaker on medical imaging, systems biology, healthcare IT, drug development, biophotonics, clinical neuroscience and other related topics.

Description of Research

Dr. Wong's research focuses on understanding health and disease from a systems perspective in order to generate cost-effective strategies and solutions for disease management. His research approaches combine both experimental and high throughput biology with rigorous computational, bioinformatics, biophysics, and imaging methods to achieve a deep understanding of the functions of each component in biological systems and integration of them with multilevel systems analysis. For example, the consequences of genetic variation, cell-cell interactions and environmental factors are included to reflect the circumstances and microenvironments of the disease condition. Current research projects include pathway modeling and high throughput phenotyping approaches for target discovery and drug repurposing in combating neurological disorders and cancer, and for understanding the mechanisms of these diseases. Additional projects include reformulation of small molecule drugs using chemical biology approaches, the development of point-of-care molecular diagnosis and monitoring devices using biophotonics and nanotechnology techniques, and the development of label-free molecular image-guided cancer therapy platforms.

Areas Of Expertise

Systems biology Bioinformatics Biological and medical imaging Drug repositioning Drug combinations Image-guided therapy Translational biophotonics Molecular imaging Diagnosis Mechanisms of cancer Mechanisms of neurological disorders
Education & Training

Postdoctoral Fellowship, Japan Science and Technology Agency
MS, Lehigh University
PhD, Lehigh University
Postdoctoral Fellowship, National Science Foundation, ICOT, The Fifth Generation Computer Systems Project, MITI, Tokyo

Novel STAT3 small-molecule inhibitors identified by structure-based virtual ligand screening incorporating SH2 domain flexibility
Kong, R, Bharadwaj, U, Eckols, TK, Kolosov, M, Wu, H, Cruz-Pavlovich, FJS, Shaw, A, Ifelayo, OI, Zhao, H, Kasembeli, MM, Wong, STC & Tweardy, DJ 2021, , Pharmacological Research, vol. 169, 105637.

The bone microenvironment invigorates metastatic seeds for further dissemination
Zhang, W, Bado, IL, Hu, J, Wan, YW, Wu, L, Wang, H, Gao, Y, Jeong, HH, Xu, Z, Hao, X, Lege, BM, Al-Ouran, R, Li, L, Li, J, Yu, L, Singh, S, Lo, HC, Niu, M, Liu, J, Jiang, W, Li, Y, Wong, STC, Cheng, C, Liu, Z & Zhang, XHF 2021, , Cell, vol. 184, no. 9, pp. 2471-2486.e20.

Sio: A spatioimageomics pipeline to identify prognostic biomarkers associated with the ovarian tumor microenvironment
Zhu, Y, Ferri-Borgogno, S, Sheng, J, Yeung, TL, Burks, JK, Cappello, P, Jazaeri, AA, Kim, JH, Han, GH, Birrer, MJ, Mok, SC & Wong, STC 2021, , Cancers, vol. 13, no. 8, 1777.

An imageomics and multi-network based deep learning model for risk assessment of liver transplantation for hepatocellular cancer
He, T, Fong, JN, Moore, LW, Ezeana, CF, Victor, D, Divatia, M, Vasquez, M, Ghobrial, RM & Wong, STC 2021, , Computerized Medical Imaging and Graphics, vol. 89, 101894.

The effect of platelet G proteins on platelet extravasation and tumor growth in the murine model of ovarian cancer
Cho, MS, Li, J, Gonzalez-Delgado, R, Lee, H, Vasquez, M, He, T, He, Y, Liu, K, Sasano, T, Nürnberg, B, Sood, AK, Wong, STC & Afshar-Kharghan, V 2021, , Blood Advances, vol. 5, no. 7, pp. 1947-1951.

Deep learning powers cancer diagnosis in digital pathology
He, Y, Zhao, H & Wong, STC 2021, , Computerized Medical Imaging and Graphics, vol. 88, 101820.

Acetyl-CoA Synthetase 2: A Critical Linkage in Obesity-Induced Tumorigenesis in Myeloma
Li, Z, Liu, H, He, J, Wang, Z, Yin, Z, You, G, Wang, Z, Davis, RE, Lin, P, Bergsagel, PL, Manasanch, EE, Wong, STC, Esnaola, NF, Chang, JC, Orlowski, RZ, Yi, Q & Yang, J 2021, , Cell Metabolism, vol. 33, no. 1, pp. 78-93.e7.

Analysis of the Implementation of Telehealth Visits for Care of Patients With Cancer in Houston During the COVID-19 Pandemic
Darcourt, JG, Aparicio, K, Dorsey, PM, Ensor, JE, Zsigmond, EM, Wong, ST, Ezeana, CF, Puppala, M, Heyne, KE, Geyer, CE, Phillips, RA, Schwartz, RL & Chang, JC 2021, , JCO oncology practice, vol. 17, no. 1, pp. e36-e43.

Memory-Augmented Capsule Network for Adaptable Lung Nodule Classification
Mobiny, A, Yuan, P, Cicalese, PA, Moulik, SK, Garg, N, Wu, CC, Wong, K, Wong, ST, He, TC & Nguyen, HV 2021, , IEEE Transactions on Medical Imaging.

A multifaceted study of hospital variables and interventions to improve inpatient satisfaction in a multi-hospital system
Puppala, M, Ezeana, CF, Alvarado, MVY, Goode, KN, Danforth, RL, Wong, SSY, Vassallo, ML & Wong, STC 2020, , Medicine, vol. 99, no. 51, pp. e23669.

The bone microenvironment invigorates metastatic seeds for further dissemination
Zhang, W, Bado, IL, Hu, J, Wan, YW, Wu, L, Wang, H, Gao, Y, Jeong, HH, Xu, Z, Hao, X, Lege, BM, Al-Ouran, R, Li, L, Li, J, Yu, L, Singh, S, Lo, HC, Niu, M, Liu, J, Jiang, W, Li, Y, Wong, STC, Cheng, C, Liu, Z & Zhang, XHF 2020, , Unknown Journal.

Guest Editorial
Tseng, VS, Wong, STC, Cook, DJ & Liu, J 2020, , IEEE Computational Intelligence Magazine, vol. 15, no. 4, 9225205, pp. 8-9.

Computational Intelligence Techniques for Combating COVID-19: A Survey
Tseng, VS, Jia-Ching Ying, J, Wong, STC, Cook, DJ & Liu, J 2020, , IEEE Computational Intelligence Magazine, vol. 15, no. 4, 9225219, pp. 10-22.

SCOR: A secure international informatics infrastructure to investigate COVID-19
Raisaro, JL, Marino, F, Troncoso-Pastoriza, J, Beau-Lejdstrom, R, Bellazzi, R, Murphy, R, Bernstam, EV, Wang, H, Bucalo, M, Chen, Y, Gottlieb, A, Harmanci, A, Kim, M, Kim, Y, Klann, J, Klersy, C, Malin, BA, Meán, M, Prasser, F, Scudeller, L, Torkamani, A, Vaucher, J, Puppala, M, Wong, STC, Frenkel-Morgenstern, M, Xu, H, Musa, BM, Habib, AG, Cohen, T, Wilcox, A, Salihu, HM, Sofia, H, Jiang, X & Hubaux, JP 2020, , Journal of the American Medical Informatics Association, vol. 27, no. 11, pp. 1721-1726.

ITLN1 modulates invasive potential and metabolic reprogramming of ovarian cancer cells in omental microenvironment
Au-Yeung, CL, Yeung, TL, Achreja, A, Zhao, H, Yip, KP, Kwan, SY, Onstad, M, Sheng, J, Zhu, Y, Baluya, DL, Co, NN, Rynne-Vidal, A, Schmandt, R, Anderson, ML, Lu, KH, Wong, STC, Nagrath, D & Mok, SC 2020, , Nature Communications, vol. 11, no. 1, 3546.

Emerging treatment strategies for breast cancer brain metastasis: from translational therapeutics to real-world experience
Ren, D, Cheng, H, Wang, X, Vishnoi, M, Teh, BS, Rostomily, R, Chang, JC, Wong, ST & Zhao, H 2020, , Therapeutic Advances in Medical Oncology, vol. 12.

OCIAD1 contributes to neurodegeneration in Alzheimer’s disease by inducing mitochondria dysfunction, neuronal vulnerability and synaptic damages
Li, X, Wang, L, Cykowski, MD, He, T, Liu, T, Chakranarayan, J, Rivera, A, Zhao, H, Powell, SZ-E, Xia, W & Wong, ST 2020, , EBioMedicine, vol. 51, 102569.

Differential contributions of pre- And post-EMT tumor cells in breast cancer metastasis
Lourenco, AR, Ban, Y, Crowley, MJ, Lee, SB, Ramchandani, D, Du, W, Elemento, O, George, JT, Jolly, MK, Levine, H, Sheng, J, Wong, ST, Altorki, NK & Gao, D 2020, , Cancer research, vol. 80, no. 2, pp. 163-169.

Toward Rapid Stroke Diagnosis with Multimodal Deep Learning
Yu, M, Cai, T, Huang, X, Wong, K, Volpi, J, Wang, JZ & Wong, STC 2020, . in AL Martel, P Abolmaesumi, D Stoyanov, D Mateus, MA Zuluaga, SK Zhou, D Racoceanu & L Joskowicz (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12263 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 616-626, 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, Lima, Peru, 10/4/20.

A Phase II Study of the Efficacy and Safety of Chloroquine in Combination With Taxanes in the Treatment of Patients With Advanced or Metastatic Anthracycline-refractory Breast Cancer
Anand, K, Niravath, P, Patel, T, Ensor, J, Rodriguez, A, Boone, T, Wong, ST & Chang, JC 2021, , Clinical Breast Cancer, vol. 21, no. 3, pp. 199-204.