linkedin: linkedin.com/in/david-m-chan github: github.com ...davidchan/content/resume.pdf ·...

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David Chan Personal Info Address: 2412 Atherton St. Berkeley, CA, 94704 Phone: 303-475-5153 Email: [email protected] LinkedIn: linkedin.com/in/david-m-chan Github: github.com/DavidMChan Website: people.eecs.berkeley.edu/~davidchan Education 2017 - Present University of California, Berkeley PhD Computer Science - Advised by Dr. John Canny, 4.0 GPA 2013-2017 University of Denver, BSc Mathematics and Computer Science - 4.0 GPA, Summa Cum Laude, Honors with Distinction, Phi Beta Kappa Experience Summer 2019 Dropbox, PhD Research Intern Designed, developed and deployed Dropbox's first ever AI for content analysis at production scale. Pioneered novel multimedia representation learning algorithms. 2018 NASA, Jet Propulsion Laboratory, Intern Developed flight-ready provable Al systems for high-risk environments. Contributed core software to DARPA Subterranean Challenge team. 2014 - 2017 Dreamface Technologies, Research Assistant Developed novel deep learning based computer vision algorithms in collaboration with the University of Denver to aid children with Autism Spectrum Disorders. 2015 - 2017 University of Denver, Undergraduate Lecturer 2016 - 2017 University of Denver, Research Assistant 2015 - 2016 Google, Student Ambassador Summer 2014 ID Tech Camps, Instructor Publications (Selected) ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations, NeurlPS Deep Learning Workshop, 2019 GPU Accelerated t-Distributed Stochastic Neighbor Embedding, Journal of Parallel and Distributed Computing (JPDC), 2019 (Outstanding Paper Award@ HPML 2018) Using hierarchical constraints to avoid conflicts in multi-agent pathfinding, International Conference on Automated Planning and Scheduling (ICAPS), 2017 Going deeper in facial expression recognition using deep neural networks, IEEE Winter conference on applications of computer vision (WACV), 2016 Facial Expression Recognition from the World Wild Web, Computer Vision and Pattern Recognition Workshops (CVPRW),2016 Awards (Selected) CITRIS Tech Innovation Grant, 2019 Herbert J Greenberg Award for Excellence in Mathematics, 2017 Departmental Service Award - University of Denver, 2017 Undergraduate Student Researcher of the Year, 2017 Outstanding Mathematics Major, 2015,2016,2017 Skills Programming Languages (Advanced): C++, C, Java, Python, CUDA Programming Languages (Working): Javascript, Scala, Swift, Matlab, R, C# Programming Languages (General): Go, PHP Technologies (Deep Learning): Tensorflow, Pytorch, Caffe, Keras, MxNet, Numpy, SKLearn Technologies (Distributed): OpenMP, MPI, Spark, Hadoop, NCCL Technologies (Misc): HTML, CSS, GIT, Bash, Bazel, GCP, Azure, AWS

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Page 1: LinkedIn: linkedin.com/in/david-m-chan Github: github.com ...davidchan/content/resume.pdf · University of Denver, BSc Mathematics and Computer Science - 4.0 GPA, Summa Cum Laude,

David ChanPersonal InfoAddress: 2412 Atherton St. Berkeley, CA, 94704 Phone: 303-475-5153Email: [email protected]: linkedin.com/in/david-m-chan Github: github.com/DavidMChanWebsite: people.eecs.berkeley.edu/~davidchan

Education2017 - PresentUniversity of California, Berkeley PhD Computer Science- Advised by Dr. John Canny, 4.0 GPA

2013-2017University of Denver, BSc Mathematics and Computer Science- 4.0 GPA, Summa Cum Laude, Honors with Distinction, Phi Beta Kappa

ExperienceSummer 2019Dropbox, PhD Research InternDesigned, developed and deployed Dropbox's first ever AI for content analysis at production scale. Pioneered novel multimedia representation learning algorithms.

2018NASA, Jet Propulsion Laboratory, InternDeveloped flight-ready provable Al systems for high-risk environments. Contributed core software to DARPA Subterranean Challenge team.

2014 - 2017Dreamface Technologies, Research AssistantDeveloped novel deep learning based computer vision algorithms in collaboration with the University of Denver to aid children with Autism Spectrum Disorders.

2015 - 2017University of Denver, Undergraduate Lecturer

2016 - 2017University of Denver, Research Assistant

2015 - 2016Google, Student Ambassador

Summer 2014ID Tech Camps, Instructor

Publications (Selected)ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations, NeurlPS Deep Learning Workshop, 2019GPU Accelerated t-Distributed Stochastic Neighbor Embedding, Journal of Parallel and Distributed Computing (JPDC), 2019 (Outstanding Paper Award@ HPML 2018)Using hierarchical constraints to avoid conflicts in multi-agent pathfinding, International Conference on Automated Planning and Scheduling (ICAPS), 2017Going deeper in facial expression recognition using deep neural networks, IEEE Winter conference on applications of computer vision (WACV), 2016Facial Expression Recognition from the World Wild Web, Computer Vision and Pattern Recognition Workshops (CVPRW),2016

Awards (Selected)CITRIS Tech Innovation Grant, 2019Herbert J Greenberg Award for Excellence in Mathematics, 2017Departmental Service Award - University of Denver, 2017Undergraduate Student Researcher of the Year, 2017Outstanding Mathematics Major, 2015,2016,2017

SkillsProgramming Languages (Advanced): C++, C, Java, Python, CUDAProgramming Languages (Working): Javascript, Scala, Swift, Matlab, R, C#Programming Languages (General): Go, PHPTechnologies (Deep Learning): Tensorflow, Pytorch, Caffe, Keras, MxNet, Numpy, SKLearnTechnologies (Distributed): OpenMP, MPI, Spark, Hadoop, NCCLTechnologies (Misc): HTML, CSS, GIT, Bash, Bazel, GCP, Azure, AWS