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I am a research fellow and team leader in the Lee Cronin research group at the University of Glasgow, where my team specializes in AI-driven chemistry automation, robotic platforms, and autonomous experimentation. I oversee team performance, set objectives, and supervise individual projects spanning hardware development to machine learning implementation. Over the years, I have developed expertise across multiple disciplines through experience at leading institutions including Oxford, ETH Zurich, and Glasgow. I started my scientific career as an organic chemist, progressed through physical-organic chemistry, and eventually transitioned to autonomous chemistry and robotics. My current work integrates large language models with chemical robots, computer vision for experiment monitoring, and closed-loop optimization algorithms. I have co-authored 28 scientific publications (26 peer-reviewed papers) and one patent.
Basics
Name | Michael Jirasek |
Label | Research Fellow & Team Leader in AI-Driven Chemistry Automation |
jirasekphd@gmail.com | |
Url | https://www.michaeljirasek.com/ |
Work
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2022.01 - Present Glasgow, United Kingdom
Research Fellow & Team Leader
University of Glasgow
Leading a diverse team of 9 researchers and graduate students in AI-driven chemistry automation. Implementing state-of-the-art large language models (LLMs) in automated chemistry laboratories, creating self-training robotic platforms for novel chemistry discoveries.
- Leading and managing a diverse team of 9 researchers and graduate students
- Implementing state-of-the-art large language models (LLMs) in automated chemistry laboratory
- Designing and building chemical robotic prototypes using CAD software
- Programming microcontroller firmware (Arduino and ESP32) and Python control software
- Developing fully autonomous robotic platforms for chemical reactions and NMR analysis
- Securing $1.25 million grant from the Sloan Foundation
- Simulating 100,000s of IR, NMR and MS spectra for theoretical studies
- Conducting high-throughput experiments on automated platforms
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2021.01 - 2021.12 Zurich, Switzerland
Postdoctoral Research Assistant
ETH Zurich
Developed novel soft materials by synthesizing collagen-like peptides combined with metals, analyzing their structure through transmission electron microscopy and XRD. Supervised master students and designed research projects.
- 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 Research Assistant
University of Oxford
Developed MATLAB software to process NMR data from published literature during COVID lockdown. Conducted quantum chemical studies on molecular flexibility and aromaticity with findings published in top peer-reviewed journals.
- 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 a library of over 200 novel azonia-helicenes and their full characterization as potential drug candidates for affecting telomerase activity. Screened for racemic conglomerate crystals using advanced techniques.
- 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
Programming & Software | |
Python (4+ years daily use) | |
MATLAB | |
TensorFlow & PyTorch | |
OpenAI & Claude API | |
MongoDB | |
Git repositories | |
Arduino & ESP32 firmware |
Hardware & Robotics | |
CAD software (Onshape, AutoCAD) | |
3D printing (Stratasys J55, Origin, Prusa, Ultimaker, Bambu) | |
Laser cutting & CNC machining | |
Raspberry Pi & camera systems | |
Stepper motor control | |
I2C protocol | |
Microcontroller programming |
Chemistry & Spectroscopy | |
NMR (high field & low field) | |
Mass spectrometry (MALDI, ESI, EI, LC-MS, MS/MS) | |
2D-IR, TRIR, Kerr gated Raman | |
UV-vis, CD, IR spectroscopy | |
Electrochemistry | |
Organic synthesis | |
Working under inert atmosphere |
Computational Chemistry | |
Quantum-chemical calculations (NICS, AICD) | |
DFT calculations | |
Molecular modelling | |
AutoDock Vina | |
Chemoinformatics |
Data Science & AI | |
Machine learning | |
Neural network architectures | |
Computer vision (OpenCV) | |
Data visualization (Plotly, Dash) | |
Pandas, NumPy, RDKit | |
Principal component analysis |
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 |