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Research fellow and team leader in the Lee Cronin group at the University of Glasgow, working at the intersection of chemistry, automation, and AI. My work spans autonomous robotic experimentation, assembly-theory-based analysis of chemical complexity, and closed-loop laboratory systems integrating machine learning and large language models. I previously worked at Oxford and ETH Zurich, with training in organic and physical-organic chemistry and subsequent specialization in autonomous chemical systems. I have co-authored 29 publications listed on this website and hold one patent.
Basics
| Name | Michael Jirasek |
| Label | Research Fellow and Team Leader in Autonomous Chemistry and AI-Driven Laboratory Automation |
| jirasekphd@gmail.com | |
| Url | https://www.michaeljirasek.com/ |
| Summary | Interdisciplinary chemist and research leader working at the interface of chemistry, robotics, and machine intelligence. I develop autonomous experimentation platforms and quantitative frameworks for chemical complexity and prebiological selection, with applications to origins-of-life research and closed-loop discovery. |
Work
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2022.01 - Present Glasgow, United Kingdom
Research Fellow and Team Leader
University of Glasgow
Leading a multidisciplinary team at the University of Glasgow developing autonomous chemistry platforms and assembly-theory-based methods for quantifying directed chemical exploration in prebiological systems.
- Leading and managing a team of 9 researchers and graduate students, setting scientific direction and delivery milestones
- Developing assembly-theory-derived metrics (including exploration ratio and ensemble assembly) for detecting directed chemical exploration
- Designing open-ended peptide polymerization workflows (wet-dry cycling, CDI coupling, enzymatic catalysis) for origins-of-life studies
- Integrating LLM-driven planning and literature extraction into automated laboratory workflows (ACRA platform)
- Designing and building robotic chemistry hardware and control stacks (CAD, Arduino/ESP32 firmware, Python orchestration)
- Building closed-loop systems combining reaction execution, automated sampling, low-field NMR, and iterative decision logic
- Secured major research funding, including a $1.25M Alfred P. Sloan Foundation grant
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2021.01 - 2021.12 Zurich, Switzerland
Postdoctoral Researcher
ETH Zurich
Developed peptide-based supramolecular and porous materials, supervised MSc researchers, and contributed to project design and execution.
- Synthesising modified amino acids and peptides using SSPS
- Fabricating large supramolecular assemblies and confirming structure with TEM
- Designing bio-compatible porous peptide-based metal-organic frameworks
- Supervising master students and devising research objectives
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2020.01 - 2020.12 Oxford, United Kingdom
Postdoctoral Researcher
University of Oxford
Developed original MATLAB workflows for ring-current analysis from experimental NMR data and combined computational and experimental methods to study aromaticity in macrocycles.
- Conceiving and developing original MATLAB software for predicting ring currents
- Parsing NMR data from literature and interpreting using custom software
- Computationally (DFT) and experimentally (NMR) studying aromaticity and ring-currents
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2010.09 - 2014.09 Prague, Czech Republic
Research Technician
Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences
Synthesized and characterized azonia-helicene compounds for bioactive screening and advanced chiroptical/crystallographic characterization workflows.
- Synthesizing library of over 200 novel azonia-helicenes
- Full characterization as potential drug candidates for telomerase activity
- Screening for racemic conglomerate crystals by detecting second-harmonic generation and XRD
- Organic compound synthesis for biological testing
Education
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2016.10 - 2020.02 Oxford, United Kingdom
PhD
University of Oxford
Physical Organic Chemistry
- Graduate NMR course
- Graduate Mass Spectrometry course
- Communication Skills
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2014.09 - 2015.08 Zurich, Switzerland
Research Internship (Erasmus)
ETH Zurich
Organic Chemistry
- Advanced Methods and Strategies in Synthesis
- Organic Synthesis: Methods and Strategies
- Computer-Assisted Drug Design
- Functional Inorganics
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2013.09 - 2016.05 Prague, Czech Republic
MSc
University of Chemistry and Technology
Organic Chemistry
- Organic Synthesis
- Retrosynthesis
- Reaction Mechanisms
- Chemical Calculations
- Organic Chemistry of Selected Elements
- Coordination Chemistry
- Metal-Organic Chemistry
- Supramolecular Chemistry
- Physical-Organic Chemistry
- Organic Technology
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2010.09 - 2013.05 Prague, Czech Republic
BSc
University of Chemistry and Technology
Chemistry
- Mathematics
- Physics
- Chemical Engineering
- Physical Chemistry
- Analytical Chemistry
- General and Inorganic Chemistry
- Organic Chemistry
- Biochemistry
Skills
| Research Leadership | |
| Scientific strategy and program direction | |
| Team leadership and mentorship | |
| Cross-disciplinary project orchestration | |
| Research planning and delivery governance |
| Autonomous Laboratory Systems | |
| Closed-loop experimentation architecture | |
| Robotic workflow design and integration | |
| Analytical-feedback-driven decision systems | |
| Scalable automation in chemical research |
| AI for Scientific Discovery | |
| Machine learning in experimental science | |
| LLM-enabled research workflows | |
| Data-driven optimization of experiments | |
| Computational support for autonomous discovery |
| Chemical and Spectroscopic Expertise | |
| Synthetic and physical-organic chemistry | |
| Multimodal spectroscopy and analytical interpretation | |
| Mechanism-informed experiment design | |
| High-complexity reaction-system investigation |
| Computational and Quantitative Methods | |
| Computational chemistry workflows | |
| Model-based interpretation of molecular systems | |
| Quantitative complexity and selection analysis | |
| Integration of simulation and experimental evidence |
Languages
| English | |
| Fluent |
| Czech | |
| Native |
| German | |
| Basic |
Interests
| Chemistry Automation | |
| Hardware design in CAD | |
| Writing firmware for microcontrollers | |
| Robotic platform development | |
| Autonomous discovery systems |
| AI & Machine Learning | |
| Large language models | |
| Computer vision | |
| Spectroscopic data interpretation | |
| Closed-loop optimization |
Awards
- 2019
Poster Prize
18th International Symposium on Novel Aromatic Compounds (ISNA-18), Sapporo, Japan
- 2019
Poster Prize
Artemis, Octopus and ULTRA User Meeting, Oxford
- 2013
Best Oral Contribution
13th Interdisciplinary Session of Young Biologist, Biochemists and Chemists
Certificates
| Orbitrap Fusion Lumos ThermoFisher Mass Spectrometry Training | ||
| ThermoFisher | 2022-08-11 |