Artificial Intelligence
Machine learning and computational methods grounded in physical and statistical structure.
About
Christopher Kara
I am Christopher Kara, a scientist and patent attorney trainee with a background spanning artificial intelligence, computational biology, molecular biophysics, and molecular biology.
My academic work has focused on using machine learning, statistical mechanics, and computational modelling to understand biomolecular systems. After doctoral research at Chalmers University of Technology and a Fulbright research stay at MIT, in October 2026 I am joining RENTSCH PARTNER in Zürich as a Patent Attorney Trainee, bringing that scientific background into intellectual property.
I am particularly interested in the point where science becomes technology: how new ideas emerge from research, how complex inventions can be understood across disciplinary boundaries, and how intellectual property shapes their path toward real-world applications.
Focus
Science, technology, and IP.
Computational Biology
Models that connect molecular detail to dynamics and measurable behaviour.
Molecular Biophysics
Structure, spectroscopy, and the physics of biomolecular systems.
AI for Science
Methods where domain knowledge, uncertainty, and interpretability matter.
Intellectual Property
How inventions are documented, evaluated, and translated beyond the lab.
Patent Law & Innovation
My professional direction—training in how technology moves through patent practice.
Transition
From science to intellectual property.
Working across biology, physics, and artificial intelligence taught me that some of the most interesting problems sit between established disciplines. Patent law offers another version of that same challenge: understanding complex technologies in depth while placing them within a broader legal, commercial, and inventive context.
My move into intellectual property therefore feels less like leaving science than approaching innovation from a different angle.
Experience
Professional timeline.
- 2026–
Patent Attorney Trainee
RENTSCH PARTNERZürich, Switzerland
Beginning training in intellectual property and European patent practice, building on an interdisciplinary scientific background in artificial intelligence, computational biology, biophysics, and molecular biology.
A transition from conducting scientific research to working directly with technological innovation, inventions, and intellectual property.
- 2021–2026
PhD Researcher — Computer Science
Chalmers University of TechnologyGothenburg, Sweden
Worked at the intersection of artificial intelligence, physics, and chemistry, developing machine-learning approaches for understanding biomolecular dynamics. The research combined computational modelling, statistical mechanics, and molecular science and formed the technical foundation for my later work at the interface of science, technology, and intellectual property.
Selected for the Wallenberg AI, Autonomous Systems and Software Program (WASP).
- 2024–2025
Visiting Student Researcher · Fulbright Fellow
Massachusetts Institute of TechnologyCambridge, MA
Conducted doctoral research at MIT’s Research Laboratory of Electronics on representation learning for protein dynamics, including geometric deep learning, information theory, coarse-graining, and generative modelling.
The research stay further strengthened my interest in working across conventional disciplinary boundaries and in the broader ecosystems through which scientific research becomes technological innovation.
- 2019–2021
Research Assistant — Structural Biology / Biophysics
Biozentrum, University of BaselBasel, Switzerland
Structural biology and biophysics, with particular experience in biomolecular NMR.
My MSc research was published in the Journal of Magnetic Resonance in a special issue dedicated to Nobel laureate Kurt Wüthrich.
- 2016–2018
Junior Editor
Kelly ServicesBasel, Switzerland
Editing German-, English-, and French-language texts and contributing to recruitment strategy for the life-sciences department.
Education
Degrees.
PhD in Computer Science
Chalmers University of Technology
Licentiate in Computer Science
Chalmers University of Technology
MSc in Molecular Biology
University of Basel
BSc in Biology
University of Basel
Recognition
Selected research and recognitions.
WASP PhD Fellowship
Selected for Sweden’s flagship AI research programme.
Fulbright Fellowship
Principal candidate of Switzerland; research stay at MIT.
WASP Research Stint (2024)
SEK 150,000 additional funding for the MIT research visit.
CHAIR AI for Scientific Data Analysis Travel Grant (2023)
SEK 20,000.
Swiss Youth in Science National Competition finalist (2015)
Third place in Biology/Medicine for work on IGF-I and glioblastoma at University Hospital Basel.
Writing
Selected writing.
Beyond work
Elsewhere.
Outside work, I keep time for languages and literature, pottery, design and architecture, and singing in choir.
Community roles have mattered to me alongside research and training: chairing the Gordon Research Seminar on Computational Aspects of Biomolecular NMR (2025), serving on the Computer Science and Engineering PhD Council at Chalmers (2022–2023), and presiding over the University of Basel choir (2018–2021).
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