Jules S. Jaffe
Principal Investigator
Dr. Jaffe received a B.A. Cum Laude from SUNY at Buffalo (Physics) in 1973, a M.S. from Georgia Institute of Technology, Atlanta (Biomedical Information Science) in 1974, and a Ph.D. from University of California, Berkeley (Biophysics) 1982. His interests include Image and signal processing science, development of 3-dimensional in-situ sensors for oceanography (optical and sonar). Underwater optical and sonar imaging. Biomedical imaging. Autonomous vehicle development.
Devin Ratelle
Research and Development Engineer

Devin got his start in the Jaffe lab as part of an undergraduate engineering design project. He joined the lab as an engineer after receiving a BS in Mechanical Engineering from UCSD in 2013 and has continued on ever since. His work with the lab includes underwater autonomous vehicles, control algorithm tuning, electrical and mechanical design for underwater imaging systems, and fabrication and assembly.

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Eric Orenstein
Postdoctoral Scholar

Eric became a student in the Jaffe lab in 2011. His research explores the interface between machine learning, computer vision, and biological oceanography. Eric earned a B. A. in Physics from the Colorado College in 2011, a M. Sc. in Oceanography from UC San Diego in 2015, and his PhD from in 2018. After defending this thesis, he has continued at Scripps as postdoctoral scholar.

Pichaya Lertvilai
Graduate Student

Pichaya has been a student in the Jaffe Lab since 2016. His research focuses on developing imaging platforms for ecological studies. He is currently working on an in situ imaging system for marine microogainsms and a low-cost imaging platform for zooplankton. Originally from Thailand, Pichaya received his B.S. in General Engineering with an Emphasis in Environmental Analysis from Harvey Mudd College, CA. He is currently working towards his PhD in Oceanography, which he is expected to complete in 2021.

Kevin Le
Master's Student

Kevin has been apart of the Jaffe Lab since 2017 when he first began doing work on an undergraduate machine learning project. He joined the lab as an Application Programmer for a year after receiving a BS in Electrical Engineering and Computer Engineering (ECE) from UC San Diego and then worked in the industry developing machine learning models. He has now returned to the lab to do deep learning/computer vision research for our underwater cameras, as part of his M.Sc in ECE, again at UC San Diego. Kevin hopes to finish his M.Sc. work in 2020.

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Alumni of the Jaffe Lab

Name Graduated Dissertation Currently @
Andrew D. Mullen 2018 Underwater Microscopic Imaging & Velocimetry for In Situ Studies of Benthic Marine Environments Georgia Institute of Technology
Eric C. Orenstein 2018 Automated Analysis Techniques for Oceanographic Imaging Scripps Institution of Oceanography
Christian Briseno 2015  Fine-scale spatial and temporal plankton distributions in the Southern California Bight: lessons from in situ microscopes and broadband echosounders University of San Diego
Justin Haag 2014 Design and implementation of optical imaging and sensor systems for characterization of deep sea biological camouflage NASA Jet Propulsion Laboratory
Paul L. D. Roberts 2009 Multiview, Broadband, Acoustic Classification of Marine Animals Monterey Bay Aquarium Research Institute
Chad Schell 2003 Advanced tracking algorithms for the study of fine scale fish behavior
David Zawada 2002 The Application of a Novel Multispectral Imaging System to the in vivo Study of Fluorescent Compounds in Selected Marine Organisms US Geological Survey
Keihan Rafii 1997 An adaptive ultrasonic technique for measuring blood vessel diameter and wall thickness
Girish Chandran 1996 Signal and receiver design for a multisensor imaging system
Andy Palowitch 1994 Chlorophyll a spatial microstructure determination from volumetrically reconstructed optical serial sectioned fluorescence images
Duncan McGehee 1994 A three-dimensional acoustical imaging system for zooplankton observations