JM José A. Mancera Applied AI Researcher · Lecturer · PhD Candidate
Professional Profile

AI Researcher

Applied data science researcher at Beekeeper AG, lecturer at Lucerne University of Applied Sciences and Arts, and PhD candidate in Computer Science and Artificial Intelligence at the University of Fribourg.

Portrait of José A. Mancera

José A. Mancera works across industry and academia, building a career that moves from electronics and communications engineering into software systems, machine learning, recommender systems, explainable AI, digital ethics, and Generative AI. His public work shows a consistent throughline: translating complex technical systems into practical decision-support tools.

Explainable AI Recommender Systems Generative AI Digital Ethics Data Engineering Applied ML for Health and Civic Systems
Selected publications ORCID GitHub LinkedIn
3 Current roles across research, teaching, and industry
19 Public repositories visible on GitHub as of March 29, 2026
2006 → 2026 Career arc spanning telecom engineering to AI research
Academic + Applied

Education & Research Interests

Education

  • PhD Candidate, Computer Science and Artificial Intelligence University of Fribourg, ongoing
  • M.A. in Information Management, magna cum laude University of Fribourg
  • M.Sc. in Computer Science, magna cum laude University of Bern
  • Minor in Space Technologies EPFL, Lausanne
  • B.Sc. in Electronics and Communications Monterrey Institute of Technology and Higher Education, Mexico
  • Additional specialization tracks Mobile Devices and Information Technology at Jönköping University; Satellite Technology and Signal Processing at Copenhagen University College of Engineering

Research and teaching interests

Explainable Artificial Intelligence Recommender Systems Fuzzy Mathematics Generative AI Digital Ethics Data Visualization Search and Optimization Data Warehouses and Data Lakes Algorithms and Data Structures AI Competitions and Hands-on Teaching
Career Trajectory

Electronics Engineer to AI Researcher

Career evolution timeline for José A. Mancera A Sankey-style timeline showing the progression from electronics and communications education through telecom engineering, space and software systems, data science and machine learning, applied AI in industry, lecturing, and doctoral AI research. B.Sc. ECE Engineering base Telecom Huawei + Nortel Mobile + Sat Specializations Space Systems Swiss Space + ELCA M.Sc. CS Bern M.A. IM Fribourg Data Science ML + product systems Applied AI Beekeeper AG Lecturing HSLU PhD Research Fribourg AI 2006 2013 2016 2019 2022 2026

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Timeline synthesis based on public education and work history. The boxes are intentionally short; the richer context appears in the interactive detail card.

2026

Current AI research and public profile

The present stage combines applied AI product work, teaching, and ongoing doctoral research.

  • PhD candidate in Computer Science and Artificial Intelligence at the University of Fribourg
  • Health AI and digital ethics publications appear in the recent ORCID record
  • Public profile now centers on research, teaching, and explainable AI

Current focus: doctoral research, applied AI, health AI, digital ethics, and explainable systems.

Experience Snapshot

Professional Roles in Career Path

Telecom engineering

Telecom Engineer Solutions at Huawei in Mexico City, followed by Senior Telecommunications Engineer at Nortel Networks in Montreal.

Space and software systems

Research Assistant at the Swiss Space Center at EPFL, Software Engineer at ELCA, and Software Engineer / Space System Engineer at Swiss Space Systems.

Machine learning transition

Data Scientist at Schindler plus Senior Big Data Machine Learning Scientist with the Information System Research Group at the University of Fribourg.

Fintech and software delivery

Software Engineer at CreditGate24, adding practical product and delivery experience to the research profile.

Applied Data Science Researcher

Beekeeper AG in Zurich, working on applied AI, data-driven product research, and privacy-aware user characterization strategies.

Lecturer and doctoral researcher

Teaching AI, optimization, data systems, and visualization at HSLU while pursuing doctoral research in AI at the University of Fribourg.

Selected Publications

Top Publications

2025 Journal

Personalized machine learning models for noninvasive hypoglycemia detection in people with type 1 diabetes using a smartwatch

PLOS One. A health AI study focused on individualized modeling and feature importance during waking and sleeping times.

View DOI
2025 Conference

Evaluation of Public Services Through the Lens of Digital Ethics

Conference on Digital Government Research. Extends the profile into responsible digital governance and ethical evaluation of public services.

View DOI
2024 Conference

From GenAI to Political Profiling Avatars: A Data-Driven Approach to Crafting Virtual Experts for Voting Advice Applications

Connects Generative AI with political profiling and decision-support applications.

View DOI
2024 Conference

User Characterization Strategies in GDPR-Compliant Environments: Beekeeper AG Case Study

ICEDEG 2024. Bridges privacy regulation, enterprise systems, and AI-enabled user characterization in industry.

View DOI
2022 Journal

GDPR-Compliant Social Network Link Prediction in a Graph DBMS: The Case of Know-How Development at Beekeeper

Knowledge. A strong example of industry-grounded research on privacy-compliant graph-based intelligence.

View DOI
2019 Journal

Dynamic profiles using sentiment analysis and Twitter data for voting advice applications

Government Information Quarterly. A notable intersection of machine learning, public decision support, and social media analysis.

View DOI
Public Code Footprint

GitHub Activity

Category 2013 2020 2021 2022 2024 2025-26
Identity and enterprise integration
Data engineering and warehousing
Machine learning and recommenders
Cloud, automation, and MLOps
Teaching, notebooks, and tutorials
Generative AI and experimentation
A-Recommender-System-for-IBM-Watson Project-Data-Lake-Spark Project-Data-Pipelines-AirFlow OpenID-Basic-Profile-Authentication Generative-AI-to-Political-Profiling-Avatars- info9023-mlops HSLU_Fundamentals_of_Data_Science AWS, EC2, Workday, SSO, and API gists
Research Ecosystem

Academic Projects & Activities

SmartRehab

One of the public HSLU research projects linked to José Mancera focuses on optimizing rehabilitation services through explainable recommender systems. It is a natural bridge between applied AI, health contexts, and responsible decision support.

Other public projects include Swiss Digital Ethics Compass and work toward causal traffic predictions, showing a portfolio that ranges from healthcare and ethics to mobility and civic technology.

Lucerne University of Applied Sciences and Arts logo

Teaching, research, and public faculty profile at the Lucerne School of Business.

Swiss Paraplegic Centre logo

Health-oriented research context connected to rehabilitation and explainable recommender systems.

Swiss National Science Foundation logo

Funding and national research context aligned with high-impact applied AI projects in Switzerland.