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.

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 30, 2026

18 Publications listed on Google Scholar as of March 30, 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

2026 Current snapshot

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

Experience Snapshot

Professional Roles in Career Path

2006 to 2013

Telecom engineering

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

2013 to 2016

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.

2016 to 2018

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.

2017 to 2018

Fintech and software delivery

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

2019 to present

Applied Data Science Researcher

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

2022 to present

Lecturer and doctoral researcher

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

ORCID Publications

Top Publications

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.

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

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

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