Stanford University


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  • Qian Ma, MD, PhD

    Qian Ma, MD, PhD

    Clinical Assistant Professor, Adult Neurology

    Current Research and Scholarly Interestsneurological complications from cancer treatment

  • Qianheng Ma

    Qianheng Ma

    Postdoctoral Scholar, Psychiatry

    BioQianheng (Jessica) Ma obtained her PhD degree of biostatistics at University of Chicago under the supervision of Prof. Donald Hedeker and is the 2021 recipient of the dissertation grant from Society of Multivariate Experimental Psychology (SMEP). Her current research focus are modern statistical methods and deep learning techniques for mining (multivariate) intensive longitudinal data especially psychological/behavioral measures collected by mobile/wearable devices. Besides research, she loves playing the piano and is good at Jazz improvisation and she can speak fluent Cantonese.

  • Quan Maq Ma

    Quan Maq Ma

    Postdoctoral Scholar, Genetics

    BioQuan (Maq) Ma is a postdoctoral researcher in the Department of Genetics at the Stanford School of Medicine. His research focuses on developing high-throughput sequencing technologies to study RNA modifications and identify substrates of RNA-binding proteins using biochemical and chemical biology approaches. Maq is also interested in the role of RNA editing in inflammatory chronic diseases.

  • Stephen Ma

    Stephen Ma

    Clinical Assistant Professor, Medicine

    BioStephen Ma is a Clinical Assistant Professor in the Division of Hospital Medicine at Stanford University School of Medicine. His undergraduate degree was in Electrical Engineering at Princeton University, after which he pursued his MD/PhD at Columbia University. He then moved to Stanford University for his residency in Internal Medicine and fellowship in Clinical Informatics prior to joining the faculty. His clinical expertise is in the care of adult patients admitted to the inpatient general medicine services.

    He is fellowship-trained in clinical informatics with the following areas of focus: 1) the implementation and evaluation of emerging technologies such as ambient AI scribes, 2) clinician-centered analytics and reporting, 3) the development of machine learning algorithms and workflows for standardization of care, and 4) care team communication and on-call scheduling. His overall approach to technology integration into healthcare emphasizes user-centered design, data-driven decision making, and rigorous demonstration of outcomes.

    He previously performed his doctoral work in the laboratory of Professor Gordana Vunjak-Novakovic where he developed human cardiac models of disease incorporating patient-derived stem cells, optogenetics, tissue engineering, optoelectronics, and video processing.