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.
Paul L. D. Roberts
Principal Development Engineer
Paul has been member of the Jaffe lab since 2000 when he joined as a undergraduate intern. He has a BS in Computer Engineering (2002), M. S. in Electrical Engineering (2004), and PhD in Electrical Engineering (Applied Ocean Science) (2009) all from UCSD. He has worked as a development engineer in the Jaffe Lab since 2010. His main interests are underwater microscopy, underwater imaging, oceanographic instrument design, signal and image processing, computer vision, and machine learning.
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Ben Laxton
Electro-Optical Technical Expert
Ben has worked as an engineer in the Jaffe Lab since 2010. During this time he has worked on a wide range of problems including omnidirectional imaging, LiDAR, 3D structured illumination imaging, structure-from-motion, scanning microscopy, free-space stereoscopic microscopy and virtual reality capture devices. Prior to this he was a computer vision and machine learning researcher and worked in industry developing and applying statistical models for the financial industry. Ben holds a M.Sc. in Computer Science & Engineering from UC San Diego and a B.S. in Computer and Information Science from the University of Delaware.
Devin Ratelle
Jr. 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. His work with the lab focuses on underwater autonomous vehicles, control algorithm tuning, and mechanical design for underwater imaging systems.
Eric Orenstein
Graduate Student
Eric has been a student in the Jaffe lab since 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 and a M. Sc. in Oceanography from UC San Diego in 2015. He hopes to complete his PhD work in 2017.
Andrew Mullen
Graduate Student
Andrew is a PhD student in the Jaffe Lab. His work focuses on the development of novel microscopic imaging systems to observe marine organisms in their natural ocean environments. Originally from Santa Cruz, California, Andrew received his bachelor’s degree in Civil Engineering from the University of Notre Dame. His undergraduate research included work studying groundwater hydrology in Benin, Africa; and physical oceanographic work using ocean gliders to study water circulation in the Artic Ocean. Andrew has earned an M.S. in oceanography and is currently working towards a Ph.D. in Electrical and Computer Engineering which he expects to finish in 2017


Alumni of the Jaffe Lab

Name Graduated Dissertation Currently @
Christian Briseno 2015  Fine-scale spatial and temporal plankton distributions in the Southern California Bight: lessons from in situ microscopes and broadband echosounders Hatfield Marine Science Center
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 Scripps Institution of Oceanography
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