School of Engineering
Showing 1-100 of 255 Results
-
Shray Alag
Masters Student in Computer Science, admitted Autumn 2022
Student Employee, Computer ScienceBioClass 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. -
Ethan Allavarpu
Course Asst-Graduate, Computer Science
BioHello! My name is Ethan, and I will be joining QuantCo as a full-time Data Scientist in July 2024. I recently obtained a Master of Science (M.S.) in Data Science at Stanford University (with coursework in Statistics, Computer Science, and Computational and Mathematical Engineering). Before Stanford, I graduated summa cum laude with a Bachelor of Science (B.S.) in Statistics from the University of California, Los Angeles (UCLA). I am always eager to contribute to research and gain more experience through data science internships. My technical prowess, determined work ethic (I completed my four-year undergraduate degree at UCLA in three years), and effective communication skills make me a valuable addition to any team.
My experiences have prepared me to work in virtually any domain. I am always willing to discuss potential work opportunities or my path with prospective undergraduate or graduate students or data science enthusiasts via LinkedIn or email. -
Edward Y. Chang
Acting 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 Science
Undergraduate, Graduate School of EducationBioContact:
achue [at] cs [dot] stanford [dot] edu -
Steve Cousins
SRC Executive Director, Computer Science
Current Role at StanfordExecutive Director of the Stanford Robotics Center
-
Joseph Huang
Executive Director of Strategic Research Initiatives - Computer Science, Computer Science
Current Role at StanfordExecutive Director of Strategic Research Initiatives.