Sections

Geneva, Switzerland

Albert Buchard

Physician · Psychiatrist · Machine-learning research scientist

Albert Buchard handles one sheet from an absurdly long run of blank accordion-fold paper spilling from an office printer while holding an espresso.

Current work

Geneva

Chef de clinique

Geneva University Hospitals · Department of Psychiatry

  • Provide senior psychiatric care in the psychogeriatric crisis programme from 2025.
  • Conduct computational-psychiatry research; from 2023 to 2025, studied Schema Therapy constructs and processes in psychedelic-assisted psychotherapy.

Geneva

Doctoral Researcher, Machine Learning and Computational Psychiatry

University of Geneva · Faculty of Medicine

Geneva

Clinical Research Scientist

Geneva University Hospitals

  • Develop causal deep-learning methods for multimodal sequential modelling in psychiatry.
  • Led development of a digital mental-health research platform spanning React Native, React, Node.js, Python, and R.
  • Contribute to outcomes, safety, biomarker, and implementation research in psychedelic-assisted psychotherapy.

Doctoral research

From Prediction to Causal Inference in Modern Deep Sequential Task-fMRI Models

Expected 2026 · supervised by Professor Stefan Kaiser

  • Test when deep sequential models recover underlying generative signal and when they exploit confounding, selection, or nuisance information.
  • Compare forward, backward, autoregressive, and masked Transformer strategies in structural causal simulations and task-based functional magnetic-resonance-imaging data.
  • Evaluate attribution and interpretability methods against known truth, then develop and test causal corrections under controlled confounding and selection bias.
  • Run large-scale benchmarking and high-performance-computing experiments across simulated and empirical sequences.

Experience

Research positions

Paris and remote

Lead Artificial Intelligence Scientist

[RE]MEDs Research

  • Led research and development of a language-model and biomedical knowledge-graph framework for drug repurposing and therapeutic-hypothesis generation.
  • Released a metamodel editor, automated clinical-data ingestion pipelines, and a free-text interface to a biomedical knowledge base.
  • Built language-model agents for knowledge enrichment, literature review, mechanism-of-action discovery, and conflict detection across biomedical sources.
  • Developed simulation-driven validation for epidemiological causal methods and contributed to a high-throughput target-trial-emulation platform.
  • Designed graph-based causal machine-learning methods and implemented research services and interfaces in Python, React, and Node.js.

Paris and remote

Machine Learning Consultant

[RE]MEDs Research

  • Worked part time on causal analysis, biomedical knowledge representation, and the technical foundations of the subsequent research platform.

Cambridge

Machine Learning Researcher

BIOS Health

  • Analysed peripheral-nerve recordings and physiological time series; developed sequence-to-sequence models for automated neural-signal biomarker discovery.
  • Applied Bayesian optimisation and reinforcement learning to nerve-stimulation research.
  • Contributed Swift, Python, and C++ software for data collection, analysis, and cardiological monitoring.

London

Research Scientist

Babylon Health

  • Led deep-reinforcement-learning research and developed Bayesian methods for automated medical triage and active diagnosis.
  • Built scalable Unity ML-Agents and Kubernetes training environments and a medical-clinic simulator for reinforcement-learning research.
  • Improved policy computation approximately fourfold, improved clinical question coherence, and developed a model-based stopping criterion; these were internal results.
  • Developed epidemiological sensitivity analysis, probabilistic graphical models, and a cross-platform C++ inference prototype with an internal tenfold speed improvement.
  • Researched safety with logical and machine-learning systems; published first-author work and contributed to three patent families, including one granted United States patent.

London

Data Science Intern

Babylon Health

  • Built Scala tools for discovering and refining medical-triage rules in knowledge graphs, plus a React and Node.js clinician-validation application.

Los Angeles

Visiting Researcher

University of California, Los Angeles · Semel Institute

  • Contributed to an online clinical tool for identifying psychogenic non-epileptic seizures under Professor Mark S. Cohen.

Geneva

Machine Learning Consultant

Stalicla

  • Designed an integrated pipeline for biomedical knowledge creation, data management, and drug discovery.

Paris and Los Angeles

Lead Full-Stack Developer

Open Influence

  • Built an operational and analytical customer system, an automated scheduler, and large-scale data-mining tools in three months.

Clinical positions and training

Geneva

Psychiatry Resident

Geneva University Hospitals

  • Held a 50% appointment in community psychiatry consultation and crisis programmes; managed monthly longitudinal care for approximately 100 adults.

Geneva

Psychiatry Resident

Geneva University Hospitals

  • Managed geriatric ambulatory emergencies and longitudinal care, then worked in short-stay adult psychiatry focused on crisis and migration-related presentations.

Grenoble

Neurosurgery Resident

Grenoble University Hospital

  • Coordinated inpatient care, evaluated emergency referrals, supervised students, and assisted with emergency, functional, epilepsy, oncological, and paediatric neurosurgery.

Paris

Medical clerkships

Sorbonne University hospitals

  • Completed rotations across neurology, intensive care, cardiology, psychiatry, paediatric neurology, surgery, gynaecology, nephrology, internal medicine, rheumatology, and infectious diseases.

Publications and patents

Google Scholar, checked 9 Aug 2026: 1,151 citations · h-index 11 · i10-index 13.

Article ·

Real-world effectiveness and safety of psychedelic-assisted psychotherapy: outcomes from a large-scale compassionate-use cohort in Switzerland

Aboulafia-Brakha, Buchard et al. · Psychiatry Research 358:116992 · doi:10.1016/j.psychres.2026.116992

DOI record
Citation details

Aboulafia-Brakha T, Buchard A, et al.. Real-world effectiveness and safety of psychedelic-assisted psychotherapy: outcomes from a large-scale compassionate-use cohort in Switzerland. Psychiatry Research 358:116992. doi:10.1016/j.psychres.2026.116992.

Preprint ·

Validation of a high-throughput target-trial-emulation platform for drug repurposing in systemic lupus

Moride, Hamon, Benichou, Buchard et al. · Research Square · doi:10.21203/rs.3.rs-8790368/v1

DOI record
Citation details

Moride Y, Hamon Y, Benichou J, Buchard A, Grimaldi L, Abenhaim L. Validation of a high-throughput target-trial-emulation platform for drug repurposing in systemic lupus. Research Square. doi:10.21203/rs.3.rs-8790368/v1.

Preprint ·

Limited prognostic value of early maladaptive schemas for acute psychedelic experience and symptom improvement

Buchard, Seragnoli, Sabe et al. · Research Square · doi:10.21203/rs.3.rs-8214817/v1

DOI record
Citation details

Buchard A, Seragnoli F, Sabe M, et al.. Limited prognostic value of early maladaptive schemas for acute psychedelic experience and symptom improvement. Research Square. doi:10.21203/rs.3.rs-8214817/v1.

Article ·

Hydroxychloroquine and cardiovascular events in patients with systemic lupus erythematosus

Grimaldi, Duchemin, Hamon, Buchard et al. · JAMA Network Open 7:e2432190 · doi:10.1001/jamanetworkopen.2024.32190

DOI record
Citation details

Grimaldi L, Duchemin T, Hamon Y, Buchard A, Benichou J, Abenhaim L, Costedoat-Chalumeau N, Moride Y. Hydroxychloroquine and cardiovascular events in patients with systemic lupus erythematosus. JAMA Network Open 7:e2432190. doi:10.1001/jamanetworkopen.2024.32190.

Book chapter ·

Artificial intelligence for medical diagnosis

Jonathan G. Richens and Albert Buchard · Artificial Intelligence in Medicine, Springer, pp. 181–201 · doi:10.1007/978-3-030-64573-1_29

Chapter DOI
Citation details

Jonathan G. Richens and Albert Buchard. Artificial intelligence for medical diagnosis. Artificial Intelligence in Medicine, Springer, pp. 181–201. doi:10.1007/978-3-030-64573-1_29.

Book chapter ·

Artificial intelligence for medical decisions

Albert Buchard and Jonathan G. Richens · Artificial Intelligence in Medicine, Springer, pp. 159–179 · doi:10.1007/978-3-030-64573-1_28

Chapter DOI
Citation details

Albert Buchard and Jonathan G. Richens. Artificial intelligence for medical decisions. Artificial Intelligence in Medicine, Springer, pp. 159–179. doi:10.1007/978-3-030-64573-1_28.

Preprint ·

Learning medical triage from clinicians using deep Q-learning

Buchard, Bouvier, Prando et al. · arXiv · arXiv:2003.12828

arXiv record
Citation details

Buchard A, Bouvier B, Prando G, Beard R, Livieratos M, Busbridge D, et al.. Learning medical triage from clinicians using deep Q-learning. arXiv. arXiv:2003.12828.

Patent families

Dialogue flow using semantic simplexes

Granted and active

US 11,145,414
Inventors

Buchard AJT, Gourgoulias K, Zwiessele MB, Navarro AKW, Johri S

System and method for medical triage through deep Q-learning

Published application, abandoned

US20210327578A1
Inventors

Buchard A, Bouvier B, Livieratos M, Beard R, Gourgoulias K, Johri S, Prando G

Computer-implemented method and system for running inference queries with a generative model

Published application, abandoned

US20210103807A1
Inventors

Walecki R, Buchard A, Gourgoulias K, Hart C, Lomeli M, Baker A, Navarro AKW, Zwiessele M, Perov Y, Johri S

Software

Independent systems and public tools.

Forge

Creator and principal maintainer

Public · Apache-2.0 · active

  • Local-first structured memory and planning for people and artificial-intelligence agents.
  • Tracks goals, evidence, relationships, and provenance across devices and coding agents.
  • Imports personal health and movement data for training-load and recovery views.

GitHub Documentation

Technical details

Built with

  • TypeScript and React
  • Fastify and SQLite
  • Tauri and Rust
  • Swift
Forge project hierarchy.

CausalPipe

Creator and maintainer

Public · MIT · release 0.9.14

  • Python package for causal discovery, statistical testing, model comparison, and reproducible reporting.
  • Discovers candidate graphs, runs statistical tests, compares fitted models, and produces analysis reports.

GitHub Documentation

Technical details

Built with

  • Python package
  • Composable discovery and evaluation stages
  • MIT licence

Therapy Deliberate Practice Studio

Creator

Public training system

  • Platform for deliberate practice of psychotherapy communication skills.
  • Provides structured scenarios, learner feedback, and local speech and language processing.

Application GitHub

Technical details

Built with

  • React and TypeScript
  • Python local inference gateway
  • Tauri and Rust desktop application
Therapy Deliberate Practice Studio help screen showing its local practice workflow.

Distributed PyTorch + SLURMGraphModelParserPyRetestExperiment.jsCalibrator.js

Education and distinctions

In progress

Doctorate in Medicine (Dr. med.)

University of Geneva Faculty of Medicine

  • Machine learning and computational psychiatry.

Left to join Babylon Health as Research Scientist

MD-PhD Candidate in Computational Neuroscience

Bavelier Laboratory · University of Geneva

  • I studied hierarchical statistical learning using behavioural and reinforcement learning approaches to better understand the cognitive processes underlying the discovery, learning, and transfer of compositional knowledge in the human brain.
  • Swiss National Science Foundation MD-PhD fellow through the Lemanic Neuroscience Doctoral School.

Medical Degree, Medicine, MD-PhD track

Sorbonne University

  • French medical degree; Swiss federal recognition obtained in 2014.

Master's Degree, Neurobiology and Neurosciences

Sorbonne Université · École normale supérieure

  • Magna cum laude; ranked second among 60 students in final examinations.
  • At the École normale supérieure, studied serotonergic modulation of cerebellar Golgi cells using patch-clamp electrophysiology, two-photon imaging, and immunohistology.
  • At the Brain and Spine Institute, built an electroencephalography brain-computer interface using signal preprocessing and multiclass support-vector machines; approximately 80% same-day accuracy.

École de l'INSERM Fellow and Master's Scholar

École de l'INSERM physician-scientist programme

  • Selected through France's national competitive medicine-science programme and awarded a two-year master's scholarship.
A heavily torn and creased fictional military-cohort photograph; Albert alone smiles while tousling a stern colleague's hair, his own cap resting in his lap.

Major distinctions

Stanford best poster and invited panelist

Frontier of AI-Assisted Care Scientific Symposium.

Swiss National Science Foundation MD-PhD scholarship

CHF 180,000 over three years.

École de l'INSERM selection and scholarship

National competitive selection and a two-year master's scholarship.

Teaching and supervision

  1. Schema Therapy for Personality Disorders4.5 hours

  2. Psychiatry Through Film: Clinical Perspectives on Mental Illness2 hours

  3. Artificial Intelligence and Medicine2 hours · approximately 50 Sorbonne University students

  4. Cognitive Artificial Intelligence Meetingsfounded and organised approximately 20 hours at Campus Biotech

  5. Statistical Analysis and Machine Learning with Rapproximately 40 hours · 20 graduate sessions · 7 students

Supervised or co-supervised seven students from the Massachusetts Institute of Technology, the University of British Columbia, University College London, and the University of Geneva. Their fields were computer science, machine learning, medicine and data science, and psychology.

Contact and CVs

LanguagesFrench · English