School of Engineering
Showing 1-100 of 246 Results
-
Shray Alag
Student Employee, Computer Science
Undergraduate, Vice Provost for Undergraduate EducationBioClass of 2025, Computer Science/Computational Biology
Research Publications:
Alag S (2020) Unique insights from ClinicalTrials.gov by mining protein mutations and RSids in addition to applying the Human Phenotype Ontology. PLoS ONE 15(5): e0233438. https://doi.org/10.1371/journal.pone.0233438.
Alag S (2020) Analysis of COVID-19 clinical trials: A data-driven, ontology-based, and natural language processing approach. PLoS ONE 15(9): e0239694. https://doi.org/10.1371/journal.pone.0239694.
Alag, Shray. 2020, July 31. Extracting Unique Insights by Mining Single Nucleotide Polymorphisms from ClinicalTrials.gov and Applying the Human Phenotype Ontology [Presenter]. Society for Clinical Trials.
Proficient in Python, Java, Bash, Octave, Mathlab. -
Younes Bensouda Mourri
Adjunct Lecturer, Computer Science
BioYounes was born and raised in Morocco. He currently teaches Artificial Intelligence on campus and online at Stanford University. He has worked on Coursera's #1 Course: Machine learning and #1 Specialization: Deep Learning. Younes co-created 3 Artificial Intelligence courses for graduate students at Stanford. He also designed and taught the Natural Language Processing Specialization on Coursera with Lukasz Kaiser.
-
Edward Y. Chang
Adjunct Professor, Computer Science
BioEdward Chang, a pioneer working on data-centric parallel machine learning since 2005. He is an adjunct professor at Stanford CS department. He also serves as the CTO of AILLY.ai. Prior to his current posts, Ed was the president of HTC Healthcare BU (DeepQ) from 2012 to 2021. Between 2006 and 2012 he served as a director of research at Google, leading research and development in areas including scalable machine learning, indoor localization, Google Q&A, and recommendation systems. Between 1999 and 2006, Ed was a full professor of Electrical & Computer Engineering at the University of California, Santa Barbara. He joined UCSB in 1999 after receiving his MS in CS and PhD in EE degrees, both from Stanford University. He is a recipient of the NSF Career award, Google Innovation award, US$1M Tricorder XPRIZE (AI for disease diagnosis) award, and ACM SIGMM test-of-time award. Ed is a Fellow of ACM and IEEE for his contributions to scalable machine learning and healthcare.
For further details, please visit https://en.wikipedia.org/wiki/Edward_Y._Chang -
Arisa Sugiyama Chue
Student Employee, Computer Science
Undergraduate, Computer ScienceBioContact:
achue [at] cs [dot] stanford [dot] edu -
Joseph Siang-Huey Huang
Executive Director of Strategic Research Initiatives - Computer Science, Computer Science
Current Role at StanfordExecutive Director of Strategic Research Initiatives.
-
Terrell Ibanez
Research Staff, Brown Institute for Media Innovation
Research Staff, Program-Agrawala, M.BioResearch Staff with Dr. Maneesh Agrawala
Stanford Human Computer Interaction Group / Brown Institute for Media Innovation
Teaching Fellow with Dr. Patrick S. Young
Stanford Digital Education Innovation Group / National Equity Education Lab -
Changhoon Kim
Adjunct Professor, Computer Science
Biohttps://www.changhoon-kim.com
Changhoon (Chang) Kim is an adjunct professor at the Computer Science Department. He is also an Intel Fellow and CTO of Applications at Barefoot Switch Division (BXD) in Intel Corp. He has been working actively for the P4 Language Consortium (P4.org). Chang is leading various research and engineering projects regarding fully-programmable high-speed networking devices. Before getting involved with P4.org and Barefoot Networks, he worked at Windows Azure, Microsoft’s cloud-service division, and led engineering and research projects on the architecture, performance, and management of datacenter networks. Chang is interested in programmable networking, network monitoring and diagnostics, domain-specific machine architectures, application acceleration, self-configuring/running networks, and debugging and diagnosis of large-scale distributed systems. Many of his engineering and research contributions — including In-band Network Telemetry (INT), VL2, Seawall, EyeQ, Ananta, and SEATTLE — are adopted in large production systems and services. He received a few awards, including SIGCOMM 2019 Test of Time Award, best paper awards from top-notch conferences (SIGCOMM, NSDI, and FAST), and Microsoft Rockstar Award 2013.
