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Yick-Bun Chan, Ph.D. Email & Phone Number

Health Data Science Fellow at Insight Data Science
Location: Boston, Massachusetts, United States 7 work roles 4 schools
1 work email found @insightdatascience.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

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Work email y****@insightdatascience.com
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Current company
Role
Health Data Science Fellow
Location
Boston, Massachusetts, United States

Who is Yick-Bun Chan, Ph.D.? Overview

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Quick answer

Yick-Bun Chan, Ph.D. is listed as Health Data Science Fellow at Insight Data Science, based in Boston, Massachusetts, United States. AeroLeads shows a work email signal at insightdatascience.com and a matched LinkedIn profile for Yick-Bun Chan, Ph.D..

Yick-Bun Chan, Ph.D. previously worked as Research Associate at Harvard Medical School and Postdoctoral Research fellow at Harvard Medical School. Yick-Bun Chan, Ph.D. holds Graduate Certificate, Data Science from Harvard Extension School.

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Email format at Insight Data Science

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*@insightdatascience.com
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Profile bio

About Yick-Bun Chan, Ph.D.

An Insight Health Data Science Fellow with broad experience in biomedical research and data science. He is skilled in Genetics, Molecular Biology, Behavioral Neuroscience, Python/R, Regression and Classification, Clustering, NLP, Deep learning with Convolutional Neural Network. In Insight, he developed a Dash-based web app that used computer vision to classify candy and identify any potential food allergens. He has a strong research career with over 10 peer-reviewed publications, has a Graduate Certificate in Data Science and works as Teaching Assistant in Data Science Class at Harvard Extension School.

Listed skills include Genetics, Molecular Biology, Cell, Genomics, and 15 others.

Current workplace

Yick-Bun Chan, Ph.D.'s current company

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Insight Data Science
Insight Data Science
Health Data Science Fellow
AeroLeads page
7 roles · 31 years

Yick-Bun Chan, Ph.D. work experience

A career timeline built from the work history available for this profile.

Health Data Science Fellow

Current

San Francisco, Ca, Us

• Created a web app that used computer vision AI to identify candy and its ingredients to warn users for any potential food allergens• Successfully used convolutional neural network to classify computer images and achieved over 95% accuracy in multi-classes classification• Deployed a Dash-based web app on AWS EC2 server for public usage

Sep 2019 - Present

Research Associate

Boston, Ma, Us

• Used Machine Learning to study correlation between behavior and neural function, and identified pairs of neuron that mediate aggression• Used Gradient Weighted Class Activation Mapping to identify brain regions related to aggression• Performed RNA-seq analysis using R to identify genes that modulated level of aggression• Supervised and trained over 10 postdoctoral researchers and students, guided research direction that resulted in over 10 peer reviewed publications• Managed routine laboratory operations including billing, inventory and laboratory safety for 5-10 researchers • Developed various novel molecular tools such as enhancer-trapped Flp recombinase library and light-controlled transcription factor to facilitate research in fly community

Postdoctoral Research Fellow

Boston, Ma, Us

• Performed genetic screens to investigate neural circuitries and identify one gene, fruitless, that controls sexually dimorphic behaviors• Characterized the roles of different sensory cues like pheromones in triggering innate behavior

Apr 2003 - Jun 2012

Teaching Fellow

Cambridge, Ma, Us

• Led online discussion session of class (Elements of Data Science and Statistical Learning with R) for over 100 students covering topics on both supervised and unsupervised learning including Regression, Random Forest, Classification, Principal Component Analysis and K-mean analysis

Feb 2017 - Jan 2019

Teaching Fellow

Cambridge, Massachusetts, Us

• Led weekly laboratory sessions and held discussion sessions of Life Sciences 1B: Genetics, Genomics and Evolution

Feb 2008 - Jun 2010

Graduate Researcher

• Successfully developed a Drosophila model of spinal muscular atrophy (SMA), a neurodegenerative disease in human, and investigated the molecular and cellular mechanism of the disease

1999 - 2003 ~4 yrs

Graduate Researcher

Shatin, Nt, Hk

• Investigated changes in gene expression during cell differentiation of myeloid leukemia cells

1996 - 1999 ~3 yrs
4 education records

Yick-Bun Chan, Ph.D. education

Graduate Certificate, Data Science

Harvard Extension School

Dphil, Genetics

University Of Oxford

Mphil, Biology

The Chinese University Of Hong Kong

Bsc, Biology (Major), Computer Sciences (Minor)

The Chinese University Of Hong Kong
FAQ

Frequently asked questions about Yick-Bun Chan, Ph.D.

Quick answers generated from the profile data available on this page.

What company does Yick-Bun Chan, Ph.D. work for?

Yick-Bun Chan, Ph.D. works for Insight Data Science.

What is Yick-Bun Chan, Ph.D.'s role at Insight Data Science?

Yick-Bun Chan, Ph.D. is listed as Health Data Science Fellow at Insight Data Science.

What is Yick-Bun Chan, Ph.D.'s email address?

AeroLeads has found 1 work email signal at @insightdatascience.com for Yick-Bun Chan, Ph.D. at Insight Data Science.

Where is Yick-Bun Chan, Ph.D. based?

Yick-Bun Chan, Ph.D. is based in Boston, Massachusetts, United States while working with Insight Data Science.

What companies has Yick-Bun Chan, Ph.D. worked for?

Yick-Bun Chan, Ph.D. has worked for Insight Data Science, Harvard Medical School, Harvard Extension School, Harvard University, and University Of Oxford.

How can I contact Yick-Bun Chan, Ph.D.?

You can use AeroLeads to view verified contact signals for Yick-Bun Chan, Ph.D. at Insight Data Science, including work email, phone, and LinkedIn data when available.

What schools did Yick-Bun Chan, Ph.D. attend?

Yick-Bun Chan, Ph.D. holds Graduate Certificate, Data Science from Harvard Extension School.

What skills is Yick-Bun Chan, Ph.D. known for?

Yick-Bun Chan, Ph.D. is listed with skills including Genetics, Molecular Biology, Cell, Genomics, Science, Laboratory, Biology, and Gene Expression.

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