Sotabase

Career

· Instructor, Stanford University School of Medicine2024–
· Postdoctoral training - Thomas Quertermous Laboratory, Stanford University School of Medicine2024–
· Cardiovascular Medicine Fellow, Stanford Health Care2020–2024
· Resident Physician, Stanford Health Care2018–2020
· Cardiovascular Medicine Fellowship Program, Stanford University2018–2024
· Internal Medicine Residency, Stanford University2018–2020
· Stanley J. Sarnoff Cardiovascular Research Fellow, UCLA2016–2017
· Medical Doctor (MD), Cleveland Clinic Lerner College of Medicine2014–2018
· Post-Bacc IRTA Fellow, National Institutes of Health (NIH)2012–2014
· Senior Algorithms and Machine Learning Engineer, Seismic

Publications (18)

High-Performance Reconfigurable Hardware Architecture for Restricted Boltzmann Machines
IEEE Transactions on Neural Networks · 2010
65
cited
Learning symbolic representations of hybrid dynamical systems
Journal of machine learning research · 2012
63
cited
A high-performance FPGA architecture for restricted boltzmann machines
Symposium on Field Programmable Gate Arrays · 2009
43
cited
Neural Networks on GPUs : Restricted Boltzmann Machines
2009
22
cited
The challenges of using an embedded MPI for hardware-based processing nodes
International Conference on Field-Programmable Technology · 2009
19
cited
Optimal Experiment Design for Coevolutionary Active Learning
IEEE Transactions on Evolutionary Computation · 2014
17
cited
A multi-FPGA architecture for stochastic Restricted Boltzmann Machines
International Conference on Field-Programmable Logic and Applications · 2009
16
cited
Co-evolutionary predictors for kinematic pose inference from RGBD images
Annual Conference on Genetic and Evolutionary Computation · 2012
16
cited
Practical optimal experiment design with probabilistic programs
arXiv.org · 2016
15
cited
Pose Estimation from a Single Depth Image for Arbitrary Kinematic Skeletons
arXiv.org · 2011
11
cited
webppl-oed: A practical optimal experiment design system
Annual Meeting of the Cognitive Science Society · 2018
10
cited
Additive Manufacturing: Exploration of Porosity and Form Features Using Layer by Layer Deposition
2012
3
cited
Trainer selection strategies for coevolving rank predictors
IEEE Congress on Evolutionary Computation · 2011
3
cited
A High-performance, Reconfigurable Architecture for Restricted Boltzmann Machines
2010
2
cited
A High-Performance, Reconfigurable Architecture for Restricted
2009
Automated telescience: Active machine learning of remote dynamical systems
2013
Sotabase
Daniel Ly | Researcher Profile | Sotabase | Sotabase