buia@mii.ucla.edu
(310) 794-3540
Office Info

924 Westwood Blvd, Suite 420, Room C

Alex Bui, PhD

Director, Medical & Imaging Informatics Group
Director, Medical Informatics Home Area
Professor, Departments of Radiological Sciences, Bioengineering & Bioinformatics
David Geffen Chair in Informatics

Biography

Dr. Bui received his PhD in Computer Science in 2000, upon which he joined the UCLA faculty and MII. His research includes informatics and data science for biomedical research and healthcare in areas related to distributed information architectures and mHealth; data and probabilistic modeling methods, including machine learning and sequential decision making; and data visualization. His work bridges contemporary computational approaches with the opportunities arising from the breadth of biomedical observations and the electronic health record (EHR), tackling the associated translational challenges.

Dr. Bui has a long history of leading extramurally funded research, including from multiple different NIH institutes (NCI, NLM, NINDS, NIBIB). He was Co-Director for the NIH Big Data to Knowledge (BD2K) Centers Coordination Center; and Application Lead for the NSF-funded Expeditions in Computing Center for Domain-Specific Computing (CDSC), exploring cutting-edge hardware/software techniques for accelerating algorithms used in healthcare. He is currently the Director of the NIH-funded Los Angeles PRISMS Center, a U54 focused on mHealth informatics. He is also a Program Director of three separate NIH T32s at UCLA in the areas of informatics, biomedical big data, and data science; and is Co-Director of UCLA CTSI's Informatics Program and the Center for SMART Health.

Publications

2020

Barnholtz-Sloan JS, Rollison DE, Basu A, Borowsky AD, Bui AAT, DiGiovanna J, Garcia-Closas M, Genkinger JM, Gerke T, Induni M, Lacey JV Jr, Mirel L, Permuth JB, Saltz J, Shenkman EA, Ulrich CM, Zheng WJ, Nadaf S, Kibbe WA. Cancer Informatics for Cancer Centers (CI4CC): Building a community focused on sharing ideas and best practices to improve cancer care and patient outcomes. JCO Clin Cancer Inform. 2020 Feb;4:108-116. DOI: 10.1200/CCI.19.00166. PMID: 32078367.

2019

Zhu B, Hsu W, Bui AAT. A Platform for Searching Clinical Documents and Medical Images to Facilitate AI/ML Development. Conference on Machine Intelligence in Medical Imaging 2019. Austin, Texas. September 22-23, 2019.
Petousis P, Han SX, Hsu W, Bui AAT. Generating Reward Functions Using IRL Towards Individualized Cancer Screening. Artif Intell Health (2018). 2019;11326:213-227. DOI: 10.1007/978-3-030-12738-1_16. Epub 2019 Feb 21. PMID: 31363717; PMCID: PMC6667225.
Petousis P, Winter A, Speier W, Aberle DR, Hsu W, Bui AAT. Using Sequential Decision Making to Improve Lung Cancer Screening Performance. IEEE Access, vol. 7, pp. 119403-119419, 2019.
Shen S, Han SX, Aberle DR, Bui AAT, Hsu W. An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification. Expert Syst Appl. 2019 Aug 15;128:84-95. DOI: 10.1016/j.eswa.2019.01.048. Epub 2019 Jan 18. PMID: 31296975; PMCID: PMC6623975.

2018

Garcia-Gathright JI, Matiasz NJ, Adame C, Sarma KV, Sauer L, Smedley NF, Spiegel ML, Strunck J, Garon EB, Taira RK, Aberle DR, Bui AAT. Evaluating Casama: Contextualized semantic maps for summarization of lung cancer studies. Comput Biol Med. 2018 Jan 1;92:55-63. DOI: 10.1016/j.compbiomed.2017.10.034. Epub 2017 Nov 3. PMID: 29149658; PMCID: PMC5762403. PDF
Bui AAT. Optimizing imaging-based clinical decision making processes. World Brain Mapping Conference, Society for Brain Mapping Technologies (SBMT). Los Angeles,California, USA; 2018.

2017

Piedra EAR, Ellingson B, El-Saden S, Taira RK, Bui AAT, Hsu W. Measuring Tumor Boundary Variability to Improve Automated Segmentation of Brain Tumors Using Multimodal MRI. Poster presented at International Society for Magnetic Resonance in Medicine (ISMRM). 2017.
Piedra EAR, Orosz I, Zide M, El-Saden S, Taira RK, Bui AAT, Hsu W. A Usability Study to Evaluate the Impact of a Novel Automated Brain Tumor Assessment Application. Poster presented at American Medical Informatics Association. 2017.
Piedra EAR, Ellingson B, Cloughesy T, Taira RK, El-Saden S, Bui AAT, Hsu W. Hybrid Hierarchical Model for Lung Cancer Prediction. International Symposium on Biomedical Imaging (ISBI). 2017.

Research Projects