Contact

Welcome

A Space for Conversation

I enjoy talking about applied mathematics, scientific computing, artificial intelligence, data science, and healthcare analytics, and about open science, teaching, and interdisciplinary work more generally. If any of what you have seen on this site connects to a question you are working on, a course you are designing, or a collaboration you are considering, I would welcome hearing from you.

A conversation here does not need a fully formed proposal behind it. Some of the most useful exchanges start from a half-formed idea, a specific technical question, or simple curiosity about how two fields might connect.

Work Together

Ways We Can Collaborate

• Research Collaborations

  Joint work on mathematical modelling, scientific computing, or healthcare analytics problems, from an early idea to a shared publication.

• Academic Partnerships

  Connections with laboratories, departments, or research groups working on related mathematical or computational questions.

• Industrial Research

  Applied projects where rigorous modelling and data science methods can inform real engineering or business decisions.

• Healthcare Analytics

  Work on public-health, epidemiological, or clinical data problems where careful modelling can support better decisions.

• Scientific Software

  Design or development of reproducible research tools, from numerical solvers to data platforms and AI-assisted research frameworks.

• Open-source Projects

  Contributions, code reviews, or new collaborations around DataHut-DuckHouse, Scientific Assistant, or related tools.

• Teaching

  Curriculum discussions, joint courses, or exchanges on how to teach mathematics and data science well.

• Guest Lectures

  Talks or seminar sessions on applied mathematics, scientific computing, AI, or healthcare analytics for a course or research group.

• Student Mentoring

  Guidance for students navigating a thesis, a research direction, or an early step into computational science.

• Research Supervision

  Support on a specific project or research question, within the scope my own experience allows.

• Data Science Consulting

  Focused help on a data analysis, modelling, or engineering problem where an outside perspective would help.

• Speaking Invitations

  Presentations for seminars, workshops, or events connected to mathematics, AI, or data science in research or education.

Regardless of Career Stage

Who Should Contact Me

Conversations are welcome from anyone genuinely interested in the questions this site describes, whatever stage of a career or a project you are at.

• Researchers & University Labs

  Faculty and research groups working on related mathematical, computational, or healthcare problems.

• Students & PhD Applicants

  Master's students and prospective doctoral candidates thinking about a research direction or a thesis question.

• Faculty Members

  Colleagues interested in curriculum design, joint teaching, or academic partnerships.

• Healthcare Organizations

  Teams exploring analytics support for public-health or clinical decision problems.

• Industry Professionals

  People working on data science, engineering, or applied AI problems in a business setting.

• Public Institutions

  Organizations considering data-driven approaches to policy, environmental, or public-health questions.

• Open-source Contributors

  Developers and researchers interested in DataHut-DuckHouse, Scientific Assistant, or related tools.

• Anyone Curious About Computational Science

  No formal affiliation required. Curiosity about the questions this site describes is enough.

Topics

What We Can Discuss

• Mathematical Modelling

• Scientific Computing

• Artificial Intelligence

• Machine Learning

• Healthcare Analytics

• Environmental Modelling

• Data Science

• Business Intelligence

• Data Engineering

• Scientific Writing

• Research Methodology

• Graduate Studies

• Career Development

• Open-source Software

• Interdisciplinary Science

Live Conversation

Schedule a Conversation

Choose a convenient time below if you would like to discuss research, collaboration, teaching, mentoring, or simply exchange ideas. This is one way to reach me among several: use whichever feels most natural.

• 30 minutes

• Online

• Flexible scheduling

• EN · FR · ES

• Platform via Calendly

Other Channels

Alternative Contact Methods

• Email

  The most direct way to reach me for research, teaching, or collaboration inquiries.

• LinkedIn

  Professional updates and a broader view of my academic and professional path.

• GitHub

  Source code, research software, and open-source contributions.

• ResearchGate

  Research outputs, working papers, and scientific updates.

• ORCID

  A persistent, verifiable record of my research identity and outputs.

• Google Scholar

  Coming soon: a consolidated view of publications and citations.

• Superprof

  Private tutoring in mathematics, statistics, physics, and algorithmics, with a teaching approach adapted to each student.

• Credly

  Verified digital badges for professional certifications.

Based In

Location

Looking Ahead

After Our Conversation

A conversation is rarely the end point. Depending on where it leads, it might grow into:

• Research collaborations
• Joint publications
• Open-source projects
• Teaching opportunities
• Student supervision
• Technical mentoring
• Scientific discussions
• Future partnerships

Not every conversation leads somewhere specific, and that is fine: a good exchange of ideas is worthwhile on its own.

FAQ

Frequently Asked Questions

• How quickly do you usually reply?

  Generally within a few business days. Scheduling a call directly through Calendly is often the fastest way to talk.

• What is the best way to reach you?

  Email for a detailed question or a first introduction; Calendly if you would rather talk it through directly.

• What languages can we talk in?

  English, French, or Spanish, whichever is most comfortable for you.

• How far in advance should I schedule?

  Availability is generally flexible. Calendly shows open slots in real time, so you can pick whatever works soonest.

• What time zone are you in?

  Central European Time (CET/CEST). Calendly automatically converts available slots to your local time zone.