Alex Greaves
About
Detail
Co-Founder
New York, United States
Résumé
Jobs
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Co-FounderFlutterFlowOct 2020 - Current (5 years 9 months)- TCo-FounderTaste IncOct 2019 - Sep 2020 (1 year)
- Senior Software EngineerGoogleAug 2016 - Sep 2019 (3 years 2 months)Google Maps. Applied machine learning for improving map data quality.
- Software Engineering InternTrove NewsJun 2015 - Sep 2015 (4 months)Designed production system to detect breaking news stories over thousands of different topics and notify users of these stories.
- Software Engineering InternShocaseJul 2014 - Sep 2014 (3 months)Lead team using data analysis to identify potential users for the site and determine the best method of contact. Sent invitations to these users that generated high click rates due to successful targeting.
- SResearcher and Data AnalystStanford Vision and Neurodevelopment LabJun 2012 - Jun 2016 (4 years 1 month)Graduate RA, research involves using deep learning to classify stimulus presented based on EEG signal recorded. Previously co-authored paper on the use of machine learning techniques in analyzing EEG data, which was accepted for publication in the scientific journal NeuroImage.
Education
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- MS, Computer ScienceStanford UniversityJan 2014 - Dec 2016 (3 years)Dual concentration in AI and Theory of Computation
- BS, PhysicsStanford UniversityJan 2011 - Dec 2015 (5 years)
Publications
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- aMaximally reliable spatial filtering of steady state visual evoked potentialsarXiv preprint arXivJul 2014Due to their high signal-to-noise ratio (SNR) and robustness to artifacts, steady state visual evoked potentials (SSVEPs) are a popular technique for studying neural processing in the human visual system. SSVEPs are conventionally analyzed at individual electrodes or linear combinations of electrodes which maximize some variant of the SNR. Here we exploit the fundamental assumption of evoked responses--reproducibility across trials--to develop a technique that extracts a small number of high SNR, maximally reliable ...