Staff Machine Learning Scientist @ (March 2023 - March 2025)
Senior Machine Learning Scientist @ (March 2022 - March 2023)
Machine Learning Scientist @ (January 2020 - March 2022)
Graduate Research Fellow @ (September 2013 - September 2019)
Research Assistant for Prof. Eli Yablonovitch @ UC Berkeley (January 2012 - August 2013)
Research Assistant for Prof. Alfredo Alexander-Katz @ (June 2012 - August 2012)
Research Assistant for Prof. Michal Lipson @ (June 2011 - August 2011)
Research Assistant for Prof. Feng Wang @ UC Berkeley (August 2010 - August 2011)
Research Assistant for Prof. Robert Birgeneau @ UC Berkeley (August 2009 - August 2010)
Research Assistant for Prof. Paul Canfield @ (June 2009 - August 2009)
Research Assistant for Prof. Jonathan Wendel @ (June 2008 - August 2008)
Research Assistant for Prof. Kai-Ming Ho @ (June 2007 - August 2007)
Research Assistant for Prof. Lynn Clark @ (August 2006 - December 2006)
Shing Ho Education
Stanford University
Doctor of Philosophy (PhD) (Engineering Physics/Applied Physics)
2013-2019
University of California, Berkeley
Bachelor of Arts (BA) (Physics and Applied Mathematics)
2008-2012
Shing Ho Skills
Digital Pathology
pandas
Computer Vision
TensorFlow
Raman Spectroscopy
Optics
Machine Learning
Data Analysis
Fluorescence Microscopy
Spectroscopy
Scanning Electron Microscopy
SEM
Confocal Microscopy
Nanotechnology
Nanomaterials
Physics
Research
Simulations
Data Visualization
Numerical Analysis
Matlab
LaTeX
Python
Adobe Creative Suite
PyTorch
Seaborn
Jupyter
SQL
Optical Microscopy
Plasmonics
Focused Ion Beam (FIB)
Colloidal synthesis of metal nanoparticles
Bacterial Cell Culture
Transmission electron microscopy
TEM
Nanophotonics
Lumerical
Data Presentation
Deep Learning
NumPy
Scikit-Learn
Matplotlib
Client Presentation
Team Leadership
Shing Ho Summary
Shing Ho, based in Redwood City, CA, US, is currently a Associate Director, Machine Learning at Tempus AI. Shing Ho brings experience from previous roles at Tempus AI and Stanford University. Shing Ho holds a 2013 - 2019 Doctor of Philosophy (PhD) in Engineering Physics/Applied Physics @ Stanford University. With a robust skill set that includes Digital Pathology, pandas, Computer Vision, TensorFlow, Raman Spectroscopy and more. Shing Ho has 1 emails and 1 mobile phone numbers on RocketReach.
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