Workshop Description

The UCLA ATLAS Precision Health Biobank integrates genetic information and de-identified medical records to enable precision health research. This introductory workshop will cover the basics of extracting health-related phenotypes from the electronic health record. Topics covered include introductory SQL, medical record concepts and organization, and best practices. No prior experience with SQL nor health records are assumed.

Workshop Materials

  • TBA
  • TBA
  • TBA

Technical Requirements

DDR access required. Note that this takes several weeks to approve so please signed up before the deadline. Please verify that you can access this environment prior to the course and contact TBA if there are any issues.


Dr. Ákos Rudas is a postdoctoral researcher at UCLA David Geffen School of Medicine, Department of Computational Medicine. His work involves collaborations with the clinical staff to develop advanced statistical models which address problems such as disease progression prediction, or forecasting hospital resource needs. Ákos received his PhD at ELTE University, Budapest. He has been teaching computer science related courses and lectures since 2013. His professional goal is to help advance patient care globally through employing and expanding on the techniques and methods of data science. Being passionate about teaching and generally the dissemination of knowledge, outside of academia he has taught classes in middle and high school, along with countless tutees both minors and adults. When not working, he spends most of his time with his family – may it be hiking, baking, or discussing the philosophical implications of the latest Stargate episodes with his kids. Email:



Workshop Details

Prerequisites: Some familiarity with basic command line, R, and genetics
Length: 3 days, 3 hrs per day
Level: Introductory
Location: Boyer 529
Seats Available: 28

Winter 2023 Dates

Mar. 7, 8, and 9
1:30 PM – 4:30 PM