Stanford University
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David Cardinal
Lecturer, Psychology
BioDavid is a Lecturer at Stanford University, co-teaching Psychology 221, Image Systems Engineering and Psychology 204A, .Human Neuroimaging Methods. He is also a co-contributor to Stanford's ISET imaging toolbox, leading the effort to extend it in areas including machine learning and computational photography.
Recently he has been assisting with the LEVANTE project in Michael Frank's language cognition lab.
David has held various development and management positions at Sun Microsystems, including directing their efforts in AI and digital imaging. He was also the founding CEO and CTO of First Floor Software, which later became Calico Commerce.
Complementing his teaching role, David is a also a technologist, tech journalist and professional photographer two decades of experience as a digital travel and nature photographer. David co-wrote one of the first image management solutions for digital photographers -- DigitalPro for Windows. His articles have appeared in dozens of magazines including many in PCMag, Dr. Dobbs, Photoshop User, and Outdoor Photographer. His photo awards include First Place in the National Wildlife Federation contest, and Finalist in the BBC / NHM Wildlife Photographer of the Year competition.
David holds a BSE in Electrical Engineering and Computer Science from Princeton University, where he received the Joseph Clifton Elgin award.
Website: http://www.cardinalphoto.com
Facebook: http://facebook.com/CardinalPhoto
Twitter: http://twitter.com/DavidCardinal -
Christopher Patrick Caridi
High-content Imaging Scientist, Innovative Medicines Accelerator (IMA)
Current Role at StanfordI am a High Content Imaging Scientist with Stanford's High-Throughput Screening Shared Facility (HTS @ the Nucleus), part of Sarafan ChEM-H and a shared resource of the Stanford Cancer Institute. Our mission is to give researchers access to fully automated high-throughput chemical, siRNA, cDNA, and high-content screening capabilities for both cell-based and enzyme/protein-based assays, accelerating the path from molecules to medicines.
My work centers on high-content imaging and phenotypic screening. I serve as a project manager for all cell-based screens and lead assay design, development, validation, and deployment, along with robotic programming and automation, data management, and co-decision-making on major instrumentation acquisitions. I partner with investigators across Stanford to translate their biological questions into robust, scalable, imaging-based screens.
The high-throughput screening (HTS) laboratory allows Stanford researchers and others to discover novel modulators of targets that otherwise would not be practical in industry. The center incorporates instrumentation (purchased with NCRR NIH Instrumentation grant numbers S10RR019513, S10RR026338, S10OD025004, and S10OD026899), databases, compound libraries, and personnel whose previous sole domains were in industry.
Among our instrumentation are a fully automated Molecular Devices ImageXpress Micro Confocal High-Content fluorescence microplate imager, with live cell, fluidics and phase contrast options. Specializing in image analysis, data acquisition, and assay development with a focus on multiplexed imaging. Here to assist all screening needs as well as targeted analyses, mechanism of action deconvolution and utilizing spatial biology to uncover novel mechanisms.
The HTS @ the Nucleus main screening lab is located in ChEM-H W008, the cell-based assay development lab is located in CCSR Room 0133-North Wing, between the Transgenic Mouse Facility, and the Stanford Genomics Facility.
