Can (Cathey) Wang Email & Phone Number
Who is Can (Cathey) Wang? Overview
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Can (Cathey) Wang is listed as Senior Deep Learning Engineer at Untether AI, a company with 72 employees, based in Toronto, Ontario, Canada. AeroLeads shows a matched LinkedIn profile for Can (Cathey) Wang.
Can (Cathey) Wang previously worked as Machine Learning Engineer at Jumio Corporation and Machine Learning Engineer at Synex Medical. Can (Cathey) Wang holds Master Of Science (M.S.), Biomedical/Medical Engineering from Carnegie Mellon University.
Email format at Untether AI
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About Can (Cathey) Wang
Can (Cathey) Wang is a Senior Deep Learning Engineer at Untether AI. He possess expertise in medical devices, signal processing, machine learning, deep learning, image processing and 15 more skills. He is proficient in Japanese.
Listed skills include Medical Devices, Signal Processing, Machine Learning, Deep Learning, and 16 others.
Can (Cathey) Wang's current company
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Can (Cathey) Wang work experience
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Machine Learning Engineer
Developed, deployed, and maintained CNN models for age, gender, and race estimation in order to detect mismatching identities, and analyze fairness of existing biometric modelsDeveloped CNNs to detect various forms of biometric spoofing attacks, such as homography and manipulated images
Machine Learning Engineer
Acted as interim leader of the data science team. Met with company leaders regularly to discuss domain progress and challenges, and supported junior engineers/internsLed the data science team to build a data processing pipeline to analyze NMR signals end-to-endDeveloped CNNs to quantify blood metabolite concentrations in NMR signals (patented)Developed.
Research Engineer
Researched autoencoders and variational autoencoders for financial market latent space representationResearched reinforcement learning algorithms for trading applicationsDeveloped framework for processing data and running different ML modelsDeveloped stochastic models (gaussian process, conditional neural process) for market analysis
Data Scientist
Developed CNN models for detection of atrial fibrillation on 1-lead ECG signalDeveloped signal processing & machine learning programs to classify/detect various heart conditions such as atrial fibrillation, atrial flutter, ventricular ectopic beats, and myocardial injuryWrote shell script and generated detector performance reports for FDA clearance
Algorithm Engineer
Processed ECG signals in Matlab and C++ to analyze heart beats, extract information, and project the subject's cardiac health based on information derivedDeveloped a health assessment program that combines ECG data with other physiological information to determine a person's cardiovascular health, give tips to improve their situation, and monitor their.
R&D Engineer Co-Op
Validated the use of bio-sensing device in monitoring lower limb venous function by developing machine learning algorithms to extract health parameters from bio-impedance signal.Designed and ran bench test experiments, prepared equipment, and acquired 100+ sets of testing data.Studied cardiovascular anatomy and bio-impedance analysis to improve signal.
Engineering Intern
Developed software for analyzing gene haplotype sequences in a family, identifying crossover positions, deriving single strand sequences, and marking single nucleotide variation (SNV) mutations.Analyzed genetic mutations in cancer patients and tested software for cancer related SNV identification.
Research Intern
Conducted animal experiments for safety validation of diagnostic optical device and image quality improvement.Developed software for registration of laser speckle contrast images (LSCI) and device testing procedures.Soldered instruments, hand-processed images to evaluate machine-processed image quality, assembled device from machined parts. (miscellaneous.
Colleagues at Untether AI
Other employees you can reach at untether.ai. View company contacts for 72 employees →
Celine Brillantes
Colleague at Untether AiToronto, Ontario, Canada, Canada
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MD
Manh Dinh
Colleague at Untether AiWaterloo, Ontario, Canada, Canada
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RS
Ridvan Song
Colleague at Untether AiLondon, Ontario, Canada, Canada
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JK
John Kitamura
Colleague at Untether AiGreater Toronto Area, Canada, Canada
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EK
Eugene Krimnuz, Mba, Pmp
Colleague at Untether AiToronto, Ontario, Canada, Canada
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FH
Frank Hansen
Colleague at Untether AiMönchengladbach, North Rhine-Westphalia, Germany, Germany
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LH
Liam Hawkins
Colleague at Untether AiWaterloo, Ontario, Canada, Canada
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DR
David Ramón Prados
Colleague at Untether AiToronto, Ontario, Canada, Canada
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SR
Sam Ruscica
Colleague at Untether AiToronto, Ontario, Canada, Canada
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RS
Rahin Somani
Colleague at Untether AiToronto, Ontario, Canada, Canada
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Can (Cathey) Wang education
Master Of Science (M.S.), Biomedical/Medical Engineering
Bachelor Of Science (B.S.), Biomedical Engineering
High School Diploma, Math & Sciences
Frequently asked questions about Can (Cathey) Wang
Quick answers generated from the profile data available on this page.
What company does Can (Cathey) Wang work for?
Can (Cathey) Wang works for Untether AI.
What is Can (Cathey) Wang's role at Untether AI?
Can (Cathey) Wang is listed as Senior Deep Learning Engineer at Untether AI.
Where is Can (Cathey) Wang based?
Can (Cathey) Wang is based in Toronto, Ontario, Canada while working with Untether AI.
What companies has Can (Cathey) Wang worked for?
Can (Cathey) Wang has worked for Untether Ai, Jumio Corporation, Synex Medical, Neuri Pte Ltd, and Biofourmis.
Who are Can (Cathey) Wang's colleagues at Untether AI?
Can (Cathey) Wang's colleagues at Untether AI include Celine Brillantes, Manh Dinh, Ridvan Song, John Kitamura, and Eugene Krimnuz, Mba, Pmp.
How can I contact Can (Cathey) Wang?
You can use AeroLeads to view verified contact signals for Can (Cathey) Wang at Untether AI, including work email, phone, and LinkedIn data when available.
What schools did Can (Cathey) Wang attend?
Can (Cathey) Wang holds Master Of Science (M.S.), Biomedical/Medical Engineering from Carnegie Mellon University.
What skills is Can (Cathey) Wang known for?
Can (Cathey) Wang is listed with skills including Medical Devices, Signal Processing, Machine Learning, Deep Learning, Image Processing, Robotics, Matlab, and C.
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