My name is Carl.

I currently work as a Senior Data Scientist at LinkedIn on the Economic Graph team.

I was formerly a high school computer science teacher at Nueva, a school in San Mateo, CA. Before then, I was a 2016 Education Pioneers Fellow working at the national charter network Rocketship Education in Redwood City. Before that, I was a 2014 receipient of the University of Chicago's Data Science for Social Good Fellowship, allowing me to work under Professor Rayid Ghani at the Center for Data Science and Public Policy.

I'm interested in using my background and experience in machine learning, statistics and computer science to contribute to societal issues around poverty, health and education.

I graduated with high honors from UC Berkeley in 2013, where I majored in Statistics with coursework in philosophy, computer science and took a number of graduate-level courses in education.

I value curiosity, kindness, introspection, gratitude and play. Although I don't always succeed, I try to act in consistency with my values and stated beliefs.

You can get in touch with me at {firstname}@carlshan.com.

Words

• 07 Apr 2016 » From Chicago to Finland: A Journey
• 27 May 2015 » How We Priced Our Book With An Experiment
• 08 Jan 2015 » How Data Science Can Be Used For Social Good
• 13 Oct 2014 » Weeks 7-12: Summer Wrapup
• 12 Jul 2014 » Week 6: Progress Thus Far
• 05 Jul 2014 » Week 5: Learning and Doing
• 30 Jun 2014 » Week 4: Bringing Humans To The Data
• 22 Jun 2014 » Week 3: Three Ways of Creating Value
• 15 Jun 2014 » Week 2: Why Doing Data Science in Non Profits is Different from Industry
• 08 Jun 2014 » Week 1: It’s not about the data, it’s about the problems you’re solving.
• 03 May 2014 » Writing is Distilling

Books

See this link for a list of books I've authored.

Code

• Intro to Data Analysis Course Material: Assignments, tutorials and exercises a data analysis class I taught at Nueva.
• Intro to CS Course Material: Assignments, tutorials and exercises for the introductory CS class in Python I taught at Nueva.
• Intro to Mobile App Development: Assignments, tutorials and exercises for the React Native I taught at Nueva on mobile development.
• Intro to Machine Learning Course Material: Assignments, tutorials and exercises for the Machine Learning class I taught at Nueva (Python).
• Predicting dropouts: Using machine learning to detect students at-risk of dropping out of high school.
• Predicting social service outcomes: Using machine learning to predict whether patients would drop out of Health Leads, a nonprofit connecting low-income patients with basic resources.