We specialize in hard problems with undefined solutions
Edge Analytics is a boutique data science consulting company. Our PhD-level data scientists and engineers bring decades of experience in delivering elegant solutions to complex, ambiguous problems. We help our partners - who range from Fortune 500 companies to early-stage startups - turn their ideas into reality.
Team
It’s in our DNA.
We are problem solvers by nature. We love breaking down problems and turning them into elegant solutions.
Andrew Weitz, PhD
Andrew has worked on digital signal processing and time series analyses for over 10 years. At Stanford, he quantified brain dynamics using fMRI and worked on deep learning approaches for image processing. His work resulted in 8 high-impact peer-reviewed publications (1 cover story) and 1 patent for analysis methods.
Cherry Gao, PhD
Cherry used data science techniques and genetic engineering to study climate processes at MIT. Cherry designed her own fluorescent, single-cell biosensors and her PhD work was published in Nature Communications. Cherry spent 1.5 months living in Antarctica (and traveled across the roughest sea passage in the world to get there) as part of a research expedition.
Jeroen Kools, MS
Jeroen was previously co-founder and CTO of NeuroPlus, a company that builds EEG- and game-based platforms to improve memory, attention, and focus. The digital therapeutic was validated by outside researchers through a 57-person clinical trial on kids with ADHD. The company had 8 employees, 800+ customers, 1 patent, and raised $1.5M in VC.
Ken Jung, PhD
Ken has worked on machine learning and statistics for the past 30 years at multiple companies, including Genentech, Dana Farber, Stanford, and Stanford Hospital. At Stanford, Ken developed methods for using free text and structured data for risk prediction and causal inference. His work has resulted in over 60 peer reviewed publications and several patents. Ken lived in Korea, Canada, and Sudan before moving to the US.
Lina Colucci, PhD
Lina developed algorithms for a novel hydration sensor based on the same technology as MRI. This work resulted in 2 patents (algorithms + device) and the cover article of Science Translational Medicine. Lina completed her PhD at a joint program between MIT and Harvard. She has been a featured speaker at multiple SXSW and TEDx events. Lina is a ballerina who invented novel ballet pointe shoes and collaborated with Nike on the shoe design.
Ren Gibbons, MS
Ren has worked on a variety of computational problems, from improving 3D-printing processes at Stanford to electrical grid optimization at AMS. At AMS, Ren was a senior data scientist who developed algorithms controlling 50 MW of power (the equivalent of a town like Palo Alto) and, in the process, increased AMS’s revenue by $500k per month. Ren has run the Boston Marathon, the North Face 50-mile Ultramarathon, and hiked the Pacific Crest Trail from Mexico to Canada. * Left PhD program.
Sidney Primas, MS
Sidney was the technical lead for the team who commercialized the first wearable bioimpedance sensor at Jawbone. He was responsible for the heart rate algorithms from clinical validation to mass production (500k+ units). The work yielded 5 signal processing patents. At MIT, Sidney developed computer vision algorithms that could perform automated microscopic urinalysis. * Left PhD program.
Vasiliy Nerozin, MS
Vasiliy has worked on firmware, digital signal processing (DSP), and algorithms for the past 15 years. His work has spanned DSP for wearable health sensors at Jawbone, firmware for radio systems at NXP, and algorithms for fast in-browser compute at Datagrok. Vasiliy has spent the past 3-years building a two-story house entirely by himself (with an occasional extra pair of hands from his dad).
Contact
Have a hard problem in mind?
Get in touch! We love meeting people who are tackling interesting problems that can change the world.
info@edgeanalytics.io