Edmund Jackson
Chief Executive Officer at UnityAI
Nashville-Davidson, Tennessee, United States
Summary
👤
Senior🎓
Top SchoolEdmund Jackson is a CEO and seasoned data science leader with 15 years of experience turning advanced analytics and AI into mission-critical products across healthcare and finance. As founder of multiple data consultancies and former Chief Data Officer/Chief Data Scientist at HCA Healthcare, he built award-winning teams and data platforms whose products saved thousands of lives and generated hundreds of millions in value. He now leads UnityAI, an AI-native company, while also advising firms as an Operating Partner at Whistler Capital Partners. Trained as a PhD in Statistical Signal Processing from Cambridge, he combines deep quantitative expertise with hands-on engineering—evidenced by open-source contributions to Clojure-based time-series tooling. Known for founding roles and operational governance, he excels at making vast, complex data assets fit for practical use and scaling analytics into business impact. Based in Nashville, his background spans academic rigor, quant trading wins, and pragmatic product delivery.
15 years of coding experience
17 years of employment as a software developer
PhD Statistical Signal Processing, PhD Statistical Signal Processing at University of CambridgeMscEng Signal Processing, MscEng Signal Processing at University of KwaZulu-Natal
Stackoverflow
91reputation
9kreached
1answer
0questions
Github Skills (12)
clojure10
data-analysis10
functional-programming10
time-series10
lib10
clojure-cli10
data-structure9
datastructures-algorithms9
algorithm9
data-structures9
algorithms9
clojurescript6
Programming languages (2)
Github contributions (5)
incanter/incanter
Feb 2012 - Feb 2012
Clojure-based, R-like statistical computing and graphics environment for the JVM
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 commits in 11 days
Contributions summary:Edmund primarily contributed to the `incanter-zoo` module, which appears to be a Clojure library for time series analysis. Their work involved implementing core functionalities, including `zoo`, `$$`, `lag`, `zoo-apply`, and `zoo-row-map`, alongside helper functions. They also made modifications to the `project.clj` file to include dependencies. The user expanded existing features like the `lag` function by adding parameters, as well as implemented row-wise map and sorting functionalities.
statisticaljvmcomputingclojuregraphics
ejackson/dijkstra
Aug 2010 - Sep 2010
Contributions:11 commits in 19 days
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