A photo of Jason Lu.

Associate Professor, UC Department of Pediatrics



Biography & Affiliation


Long (Jason) Lu, PhD, focuses on bringing quantitative approaches from disciplines such as computer science and applied mathematics to study the molecular mechanisms of human diseases. His expertise includes biomolecular network predictions and analysis, machine learning and statistical inference, genomic and transcriptomic sequence analysis, and medical image analysis.

Dr. Lu developed a network-based approach that combines proteomics experiments and computational predictions to discover high-density lipoprotein (HDL) subspecies and correlate them with cardiovascular protection function. His approach identified 38 candidate HDL subparticles. Further biochemical characterization of these putative subspecies may facilitate the mechanistic research of cardiovascular disease and guide targeted therapeutics aimed at its mitigation.

In studying pediatric brain disorders, Dr. Lu developed a set of novel algorithms for analyzing brain anatomical and functional MRI images. These algorithms will be important tools in aiding physicians in diagnosis and developing treatment plans. Dr. Lu has also introduced a new perspective to characterize gene essentiality from protein domains, which addresses the limitations of traditional gene-level studies of essentiality.

To identify such essential domains, he developed an Essential Domain Prediction (EDP) Model and presented the first systematic analysis on gene essentiality on the level of domains. Dr. Lu’s research accomplishments have been recognized nationally and internationally by serving on grant reviewer panels for the National Institutes of Health and the National Science Foundation in the United States, the Natural Sciences and Engineering Research Council of Canada (NSERC), French National Research Agency (ANR), and National Science Centre of Poland (NCN).

Academic Affiliation

Associate Professor, UC Department of Pediatrics


Biomedical Informatics


BS: Biotechnology/Bioengineering, Peking University, Beijing, China.

PhD: Biochemistry, specialized in Computational Molecular Biology, Washington University School of Medicine, St. Louis, MO.

Postdoc: Research Associate, Bioinformatics, Yale University, New Haven, CT.


Gordon SM, Li H, Zhu X, Tso P, Reardon CA, Shah AS, Lu LJ, Davidson WS. Impact of genetic deletion of platform apolipoproteins on the size distribution of the murine lipoproteome. Journal of Proteomics. 2016;146:184-94.

Tan L, Holland S, Deshpande A, Chen Y, Choo D, Lu LJ. A semi-supervised SVM model for predicting the language outcomes following cochlear implantation based on pre-implant brain fMRI imaging. Brain and Behavior. 2015;5(12):e00391. 

Li H, Gordon SM, Zhu X, Deng J, Swertfeger DK, Davidson WS, Lu LJ. Network-Based Analysis on Orthogonal Separation of Human Plasma Uncovers Distinct High Density Lipoprotein Complexes. J Proteome Res. 2015 Aug 7;14(8):3082-94.

Lu Y, Lu Y, Deng J, Peng H, Lu H, Lu LJ. A novel essential domain perspective for exploring gene essentiality. Bioinformatics. 2015 Sep 15;31(18):2921-9.

Chen Y, Mazlack L, Minai AA, Lu LJ. Inferring causal networks using Fuzzy Cognitive Maps and evolutionary algorithms with application to gene regulatory network reconstruction. Applied Soft Computing. 2015;37:667-679.