THTing-Fang He
@tingfanghe
Experienced data scientist with a strong background in machine learning.
United StatesWhat I'm looking for
I am a seasoned data scientist with over 19 years of experience in data analysis, specializing in machine learning and data visualization. My journey in STEM has equipped me with a PhD in Biochemistry, where I focused on electron-transfer dynamics, and I have since published 29 peer-reviewed papers and hold a US patent. My expertise spans across various domains, including healthcare and technology, where I have successfully led projects that leverage data to drive impactful decisions.
Currently, I serve as a Senior Data Scientist at Philips, where I have developed comprehensive metrics to enhance the productivity of ECG analysis technicians and initiated an anomaly detection system for medical devices. My previous role at Dexcom involved creating forecasting models and interactive dashboards that improved operational efficiency. I am passionate about utilizing advanced analytics and machine learning techniques to solve complex problems and contribute to innovative solutions.
Experience
Work history, roles, and key accomplishments
Sr. Data Scientist
Philips
Jun 2022 - Present (3 years)
Conducted data analysis and developed metrics to improve ECG analysis technicians' productivity. Collaborated with data and software teams to optimize production code and initiated an anomaly detection system for device monitoring using NLP techniques.
Sr. Data Scientist
Dexcom
Jan 2021 - May 2022 (1 year 4 months)
Developed a time-series CGM anomaly recognition model and a forecasting model for customer complaints. Built an interactive dashboard for device performance tracking and supported technical teams by classifying sensor failures.
Staff Research Scientist
City of Hope
Jul 2016 - Jan 2021 (4 years 6 months)
Led a team to process large image datasets for oncology trials. Researched immune system interactions with cancer and evaluated treatment impacts using statistical analysis.
Data Science Fellow
Insight
Sep 2020 - Dec 2020 (3 months)
Created a Streamlit web app for object recognition in YouTube videos. Utilized transfer learning and OpenCV to process video deliverables and achieve high recall rates for phobia-related objects.
Postdoctoral Scholar
California Institute of Technology
Sep 2011 - Jul 2016 (4 years 10 months)
Designed a 3D microscope for detecting single molecules in brain tissue, achieving significant improvements in visualization and true-positive rates, leading to a US patent.
Education
Degrees, certifications, and relevant coursework
UAUniversity of California, Los Angeles
Data Science Certificate, Data Science
2020 - 2020
Completed a Data Science Certificate program focusing on advanced data analysis techniques and applications in various fields.
TUThe Ohio State University
Doctor of Philosophy, Biochemistry
2006 - 2011
Earned a PhD in Biochemistry with a thesis focused on Electron-Transfer Dynamics, contributing to the understanding of biochemical processes.
NUNational Tsing Hua University
Bachelor of Science, Chemistry
1998 - 2002
Obtained a Bachelor of Science in Chemistry, laying the foundation for a career in scientific research and data analysis.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
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