School of Engineering
Showing 1-50 of 1,013 Results
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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. -
Matthew Bahls
Director of Major Gifts, School of Engineering - External Relations
Current Role at StanfordDevelopment Officer for the School of Engineering
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Richard Bahr
Adjunct Professor, Electrical Engineering
BioAcademic experience:
Presently advising the Stanford SystemX Alliance, and the EE/CS AHA! Research center as an adjunct prof. Formerly the executive director of the SystemX Alliance, and a consulting professor at Stanford.
Commercial experience:
Presently an advisor, consultant and mentor to a number of startup companies primarily in the computing and wireless spaces. Formerly the SrVP responsible for Wi-Fi technology at Qualcomm, and before that the engineering executive responsible for the MIPS microprocessor and Cray supercomputer development at SGI.
Education: BSEE and MSEE from MIT.
For more extensive background, please consult my linked in profile: https://www.linkedin.com/in/rickbahr.