Teaching

Biomedical informatics is inherently an application-driven field, drawing upon expertise from multiple disciplines to address the barriers that hinder the effective use of biomedical data in healthcare. For an introduction to what biomedical informatics is, I recommend a page developed by Bill Hersh  of Oregon Health Science University. You can also read about the diverse topics related to this field in the most recent edition of Biomedical Informatics: Computer Applications in Healthcare and Biomedicine  edited by Ted Shortliffe and Jim Cimino.

For an introduction to what biomedical imaging informatics is, I highly recommend a book written by Alex Bui and Ricky Taira entitled Medical Imaging Informatics . Perhaps I am a little biased as I co-wrote two chapters in the book, one on medical data visualization  and the other on applications of probabilistic disease models . Recently, Ricky Taira, Suzie El-Saden and I co-wrote a chapter envisioning the role of medical imaging informatics in enabling precision medicine .

Below, you will find some of the courses that I am currently teaching or directing at UCLA. You can also find archived materials from previous lectures that I have given.

Current Courses

  • Winter2017

    BE223A Programming Lab for Medical Informatics

    Project-based course that is designed to provide students with practical experience in solving informatics problems. Students are expected to know basic principles of object-oriented programming and data structures and will be tasked with implementing practical  machine learning algorithms, image analysis algorithms, and web-based user interfaces. Registrar  | Course Homepage 

Previous Courses, Workshops, Seminars

  • Winter2017

    BE223B Programming Lab for Medical Informatics

    Project-based course that is designed to provide students with practical experience in solving informatics problems. Students are expected to know basic principles of object-oriented programming and data structures and will be tasked with implementing practical  machine learning algorithms, image analysis algorithms, and web-based user interfaces. Registrar  | Course Homepage 

  • Nov2016

    Lecture: Data Integration & Precision Medicine

    This lecture was given as part of the introductory course to biomedical informatics at UCLA (BE 220). It summarizes current challenges and opportunities in data integration with examples drawn from my own research. Click to view presentation.

  • May2016

    Lecture: Introduction to Imaging Informatics

    This lecture was given as part of the CTSI Module on Biomedical Informatics. It overviews key concepts related to biomedical imaging informatics and reviews the current state-of-the-art in the field. Click to view presentation.

  • May2016

    CTSI Module on Biomedical Informatics

    Co-directed with Corey Arnold. This installment of the annual module will provide basic and clinical translational scientists with a working understanding of biomedical informatics principles and their applications in biomedical data collection, standardization, representation, and analysis.

  • Spring2016

    BE224B Advances in Imaging Informatics

    Co-taught with Corey Arnold. Topical course covering principles and algorithms related to extracting imaging features, representing image content, and relating image features to other clinical data. Registrar  | Course Homepage 

  • Winter2016

    BE223B Programming Lab for Medical Informatics

    Project-based course that is designed to provide students with practical experience in solving informatics problems. Students are expected to know basic principles of object-oriented programming and data structures and will be tasked with implementing practical  machine learning algorithms, image analysis algorithms, and web-based user interfaces. Registrar  | Course Homepage 

  • May2015

    CTSI Module on Biomedical Informatics (2015)

    Co-directed with Corey Arnold. This seven-part lecture series provides basic and clinical translational scientists with a working understanding of biomedical informatics principles and their applications in biomedical data collection, standardization, representation, and analysis. View videos of each lecture here .

  • Mar2014

    Talk: Context-Senstiive Visualization of Clinical Big Data

    This talk describes a “re-envisioning” of how the electronic health record is presented to physicians. Given as part of the UCLA CTSI Big Data to Knowledge (BD2K) conference. Click to view video .