Co-Founder
Current-Using ML to pinpoint and provide actionable insights for chronic diseases -Explainable AI (XAI) to enhance patient engagement and user experience-Leads product management and delivery
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@ucsd.edu
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Pohan Chiang is listed as Electrical and Computer Engineering Ph.D. Candidate at University of California, San Diego at CIPRA.ai, based in San Diego County, California, United States. AeroLeads shows a work email signal at ucsd.edu and a matched LinkedIn profile for Pohan Chiang.
Pohan Chiang previously worked as Co-Founder at Cipra.Ai and Graduate Student Researcher at University Of California, San Diego. Pohan Chiang holds Doctor Of Philosophy - Phd, Computer Engineering from University Of California, San Diego - Jacobs School Of Engineering.
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I am a ECE Ph.D. candidate at University of California, San Diego (UCSD). I work with Professor Sujit Dey at the Mobile Systems Design Lab. ~5 years experience in python programming, familiar with scientific calculation and machine learning packages like Pytorch, Keras, pandas and sci-kit learn. My experience includes healthcare data mining, time series forecasting, stochastic optimization and interpretability of ML. I am interested in pursuing a career in data science, especially the applications in finance and healthcare.
Listed skills include C, C++, Matlab, Scikit Learn, and 5 others.
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San Diego
-Using ML to pinpoint and provide actionable insights for chronic diseases -Explainable AI (XAI) to enhance patient engagement and user experience-Leads product management and delivery
Health Informatics and Applied ML (collaborated with Samsung Digital Health and Kaiser Permanente)- Proposed offline and incremental learning model of daily blood pressure (BP) and data collected from wearables- Enable personalized healthcare by providing both numerical prediction of BP and importance ranking among features. The method is based on Random.
Santa Rosa
-Implemented machine learning models to predict wafer fabrication yield reduced the prediction error by 56% -Developed internal use cases and strategies applying machine learning on sensor data and proposed a white paper
Conducted research on user mobility in Heterogeneous Networks (HetNets) and energy saving in LTE-advanced and implemented simulators. My teammate and I proposed a new solution to enhance performance, and submitted a technical paper and filed two provisional patents of the relative solutions.
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Pohan Chiang works for CIPRA.ai.
Pohan Chiang is listed as Electrical and Computer Engineering Ph.D. Candidate at University of California, San Diego at CIPRA.ai.
AeroLeads has found 1 work email signal at @ucsd.edu for Pohan Chiang at CIPRA.ai.
Pohan Chiang is based in San Diego County, California, United States while working with CIPRA.ai.
Pohan Chiang has worked for Cipra.Ai, University Of California, San Diego, Keysight Technologies, and Mediatek.
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Pohan Chiang holds Doctor Of Philosophy - Phd, Computer Engineering from University Of California, San Diego - Jacobs School Of Engineering.
Pohan Chiang is listed with skills including C, C++, Matlab, Scikit Learn, Research, Python, Linux, and Algorithms.
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