Christian Koehler
Elk Grove
Summary
Innovative Manager in UX Data Science specializing in AI and HCI integration. Leads a UX metrics team to leverage AI for user insights and improve human-centric technology. Experienced in data science, applied machine learning, and survey design, with expertise in deep learning algorithms and large dataset analysis. Combines quantitative and qualitative research methods to drive user-centered technology development.
Overview
16
16
years of professional experience
Work History
UX Data Science Manager
Oracle
09.2022 - Current
- Lead a team of 5 data scientists, researchers, and engineers to develop telemetry-driven analytics and AI solutions for enterprise products
- Directed navigation path analytics platform development, enabling product teams to identify UX friction and enhance feature adoption
- Oversaw development of graph-based algorithms to extract user behavior patterns at scale from billions of events
- Productized task analytics framework measuring success rates and errors, informing large-scale product redesigns
- Presented product insights and tools to over 1,000 stakeholders, facilitating informed decision-making
Principal UX Data Scientist
Oracle
03.2021 - 09.2022
- Extracted key insights from large-scale telemetry data to inform product decisions
- Developed advanced product analytics and user behavior models for enterprise applications
- Delivered insights to executive sponsors to guide strategic initiatives
Senior Research Engineer (AI)
Samsung Research America
01.2015 - 03.2021
- Led development of AI/ML models for recommendation systems, NLP, and user behavior analysis, enhancing user experiences across multiple products
- Built deep learning + knowledge graph-based recommendation system for Samsung TV, scaling to millions of users
- Designed NLP algorithms improving Q&A performance for Samsung Bixby; co-authored patent
- Developed location inference algorithms for Samsung Pay, increasing user engagement and enabling targeted notifications
- Conducted large-scale user studies and data analysis, guiding AI product design and informing roadmap decisions
- Presented work to executive leadership; contributed to securing additional funding
Graduate Researcher (PhD)
Carnegie Mellon University
01.2010 - 01.2015
- Designed and executed large-scale user studies and data collection pipelines to enhance understanding of user interactions
- Developed ML models predicting human behavior to optimize building energy usage
- Built predictive systems for indoor location and smart energy control to improve user experience
- Published multiple peer-reviewed papers in top HCI venues
Education
Ph.D. - Electrical & Computer Engineering
Carnegie Mellon University
Pittsburgh, PA09-2015
Master of Science - Computer Science (HCI)
RWTH Aachen University
Aachen Germany05-2009
Skills
- Applied ML
- Deep Learning
- NLP
- Pattern Recognition
- Experimental design
- Statistical modeling
- Big data analytics
- Data Pipelines
- Spark
- Python
- SQL
- Java
- HCI
- Survey research
Additional Information
Conference reviewer: CHI, UbiComp, IUI, Led and mentored student and research teams, Expertise bridging AI + Human-Centered Design
Personal Information
Title: UX Data Science Leader | AI, HCI, Product Analytics
Selected Achievements
- 2 Patents in AI/ML systems (recommendation + automation)
- UbiComp Honorable Mention (Top 5%)
- Led cross-functional AI and UX initiatives impacting millions of users
- Extensive publication record in HCI, AI, and ubiquitous computing
Websites
Timeline
UX Data Science Manager
Oracle
09.2022 - Current
Principal UX Data Scientist
Oracle
03.2021 - 09.2022
Senior Research Engineer (AI)
Samsung Research America
01.2015 - 03.2021
Graduate Researcher (PhD)
Carnegie Mellon University
01.2010 - 01.2015
Ph.D. - Electrical & Computer Engineering
Carnegie Mellon University
Master of Science - Computer Science (HCI)
RWTH Aachen University