Leverhulme Early Career Fellow
Hessam.Mehr@glasgow.ac.uk
School of Chemistry, University of Glasgow
Advanced Research Centre, Office 576
11 Chapel Lane, Glasgow, UK G11 6EW
Chemistry–Information–Discovery: I lead an interdisciplinary research group devising new paradigms for chemical synthesis and discovery predicated on automation and programmable chemistry; bespoke reaction media and experimental hardware; and cutting-edge computational approaches.
My fellowship leverages automation and computational modelling to radically expand the gamut of interpretable experimental regimes in chemistry, with chemistry in aerosols as a first paradigm. I have created a modular, digitally controlled aerosol reactor — the first of its kind — and championed its adoption as a medium for chemical synthesis and discovery. Applications ranging from materials chemistry to antimicrobial discovery are being pursued within my group and via collaborations.
Focus areas include (i) the digitisation of synthetic chemistry, leading to two Science papers and commercialisation via a patent that now underpins a £40M spin-out company; and (ii) algorithmic discovery of new reactivity via automated platforms integrating online analytical instruments.
I devised a system combining signal processing algorithms with probability theory to automate the quantitative analysis of complex forensic drug samples. Alongside continued development at Health Canada and nationwide deployment, the underlying technical innovations were published in a special issue of Mag. Reson. Chem.
From doped silicon to superconductors, the ability to fine-tune materials’ electronic structure has transformed the landscape of possible material properties. Translating this idea to the field of organic chemistry, I demonstrated how the interplay of molecular shape and electron delocalisation can modulate and even defy properties like aromaticity.
Focus areas: Digital signal processing, photonic crystals.
Highlights among 29 primary research papers (h-index: 14; 736 citations; full list) include:
Wosik, J.; Zhu, C.; Mehr, S. H. M., Under review, 2025 (preprint: 10.26434/chemrxiv-2025-mkmn0)
Building blocks for synthetic chemistry in aerosols: This paper lays the conceptual foundations for, and provides a practical laboratory implementation of, general-purpose chemical synthesis in aerosols. Synthesis in microdroplets has historically been difficult to reconcile with traditional laboratory workflows, hence hardly explored in synthetic chemistry. Tackling these issues using new hardware and analytics, it provides access to vast reactivity information and chemical phenomena at different lengths scales, as well as an arena for the development of new green synthesis methodology.
Mehr, S. H. M. Digital Discovery, 2025 (10.1039/D5DD00029G)
Enriching rather than trivialising chemistry via digitisation: Growing interest in machine learning and automation in chemistry raises the question of whether future chemistry will be “lab-free” or reduced to massive robotic chemistry farms to harvest information and AI models to ingest it. I explore possibilities beyond these extremes, where enabling exploration of richer experimental spaces unlocks a third, more exciting, direction for digitisation.
Zhang, L.; Mehr, S. H. M. Digital Discovery, 2024 (10.1039/D4DD00139G)
Aerosol-generated hydrogel microdroplets as miniature self-assembled reactors: Hydrogel matrices hold promise as a locus for inhomogeneous chemistry, especially in the micron range, where reactants and products can be transported via diffusion. In this work, we generated reactive microdroplets of sodium alginate which, upon contact with and cross-linking with a reagent-loaded solution of calcium ions, acted as hydrogel containers for subsequent in situ reactivity within them. Featured on the front cover of December 2024 issue.
Šiaučiulis, M.; Knittl-Frank, C.; Mehr, S. H. M; Clarke, E.; Cronin, L. Nat. Commun., 2024 (10.1038/s41467-024-54238-6)
Early means of programming robotic modules for chemical synthesis show immense promise for deployment in research and industrial labs, but lack the fundamental constructs — re-usable reactions, parallel synthesis, and a higher-level representation of reagents and hardware — needed to tackle more ambitious synthetic challenges. I designed a first-class implementation of these constructs in the χDL 2.0 language whilst maintaining compatibility with the existing repertoire of procedures digitised via χDL 1.0.
Jirasek, M.; Sharma, A.; Bame, J.; Mehr, S. H. M., et al. ACS Cent. Sci., 2024 (10.1021/acscentsci.4c00120)
Tandem mass spectrometry is a formidable tool for analysing complex mixtures of unknown compounds, e.g. exoplanet samples, but pinpointing compounds of interest without extrapolating from currently known species remains a challenge. In this collaboration with the Cronin Group, I devised a recursive algorithm (RecursiveMA) that searches tandem MS dataset for evidence of shared molecular building blocks, quantitatively differentiating complex molecules from those that are simply large.
Mehr, S. H. M.; Caramelli, D.; Cronin, L. PNAS, 2023 (10.1073/pnas.2220045120)
A fresh take on AI in chemistry: The applications of AI in chemistry are proliferating, yet instead of empowering expert chemists to undertake larger-scale experiments, most efforts supplant the chemist with data-hungry and opaque models. Bridging Bayesian probability and chemistry, we built a system that encodes and formalises chemists’ intuition into a probabilistic model working in tandem with a robotic chemistry platform to explore large experimental spaces and plan next investigations.
Mehr, S. H. M.; Tang, A. W.; Laing, R. R. Magn. Reson. Chem., 2023 (10.1002/mrc.5265)
Digital signal processing and statistics to counter drug epidemics: Developing bespoke analytical protocols for drug detection is resource intensive and time consuming, incompatible with tackling rapidly emerging crises, such as the fentanyl epidemic. At Health Canada, we demonstrated an automated 1H NMR-based pipeline, based on advanced signal processing techniques and statistical inference, that can be applied to new analytes and sample types with little adaptation or method development.
Rohrbach, S.; Šiaučiulis, M.; Chisholm, G.; Pirvan, P.-A.; Saleeb, M.; Mehr, S. H. M.; et al. Science, 2022 (10.1126/science.abo0058)
Mehr, S. H. M.; Craven, M.; Leonov, A. I.; Keenan, G.; Cronin, L. Science, 2020 (10.1126/science.abc2986)
Hardware-independent synthesis automation: Digitising synthesis requires in-depth knowledge of vendor specific programming interfaces and lengthy development to adapt literature protocols to robotic execution. Our high-level hardware-independent chemical programming language XDL formalises the chemical literature’s universal method for describing synthesis procedures in prose and translates these descriptions to robot-ready instructions.
Mehr, S. H. M.; Patrick, B. O.; MacLachlan, M. J. Org. Lett., 2016 (10.1021/acs.orglett.6b00577)
Aromaticity challenged: We designed & synthesised a molecule shaped by three conflicting forces — aromaticity, strong peripheral electron delocalisation and steric interactions at odds with both of these. The resulting structure demonstrates the power of molecular design to elicit exceptional properties from ordinary functional groups, and a new strategy for molecular activation.
Mehr, S. H. M. Book proposal accepted with publication in the RSC Foundations Series expected in 2025.
Department of Chemistry, King’s College London, 2025
Institute of Chemical Sciences, Heriot–Watt University, 2025
Annual Aerosol Science Conference, York, 2024
7th RSC AI in Chemistry Symposium, Cambridge, 2024
Annual Aerosol Science Conference, Teddington, 2023
Invited talk, ScotCHEM Computational Chemistry Symposium, Edinburgh, 2022
Cronin, L.;
; Craven, M.; Leonov, A. I.Nominated as a Digital Discovery Emerging Investigator: “an up-and-coming researcher making a significant contribution to accelerated science using machine learning, robotics, AI or quantum computing”. Invited to contribute to forthcoming themed collection.
With RSEd’s support, I organised the first workshop dedicated to the novel strategies for creating compartments and containers to enable future chemistry.
Via this grant, we explored the applications of acoustic fields to generating contact-free chemical reactors, fostering collaboration with leading European groups in Bristol, Pamplona, and Helsinki.
UofG’s flagship Lord Kelvin / Adam Smith (LKAS) Fellowship Scheme — established to support outstanding early-career researchers on the trajectory to becoming leaders in their field.
My proposal “Investigating the dark reactions present in chemical space” focused on automated discovery of reactions remaining unknown due to inherent bias in current experimental technique.
Contributing to the board’s mission of being a “critical friend” to senior UofG management. I advocated for specific concerns of early-career researchers and initiated the conversation within the board about widening recruitment to under-represented groups in the University.
Widening participation summer research placements for high school students.
Used a £2,500 grant from UofG ARC to curate a series of pop-up hacker/maker stations. The versatility of these stations — covering drag-and-drop programming of embedded microcontroller board, prototyping tools and electronic circuits — combines with larger investment in ARC maker tools to enable a wide range of researcher-led outreach activities.
Conceived and organised a workshop bringing together four European institutions (Heidelberg, Navarre, Bristol, Cardiff) at the forefront of new techniques for confinement of matter, with the central question of whether future chemical reactions could be contained and manipulated using software, e.g. via acoustic fields, rather than glassware.
This RSC Outreach Grant-supported workshop series introduced Glasgow high schoolers to cutting-edge advances in digital chemistry, ending with in a practical session on building a sub-£20 titrator robot. My work was showcased in the micro:bit LIVE conference.
Chemical Studies is a University of Glasgow Chemistry stream aimed at distilling the spectrum of skills and experience chemistry undergraduate in a format tailored to students ineligible for the full MSc. As a co-organiser of this innovative programme for the past two years, I mentored small groups of students through the formulation of a research question; guiding them towards a tractable laboratory implementation, followed by 4 intensive lab sessions culminating in a group dissertation and poster.
Current: 3 PhD students (including one jointly supervised with Computer Science); 1 MSc student; 1 research intern.
Past: 2 MSc students; 5 Advanced Functional Materials PGT students; 1 Chemical Biology PGT student; 1 international post-graduate visiting student; 2 international exchange students; 2 interns.
Examination: Examiner on 12 viva exams so far.
Zhang, L.; Chen, J.; Mehr, S.H.M.
Under review, 2025
Li, Z.; Mehr, S.H.M.
Under review, 2025
Mehr, S.H.M.
SoftwareX, 30, 102175, 2025
Wosik, J.; Zhu, C.; Mehr, S.H.M.
Under review, 2025
Mehr, S.H.M.
Digital Discovery, 4 (4), 892–895, 2025
Zhang, L.; Mehr, S.H.M.
Digital Discovery 3 (12), 2424–2433, 2024
Weiss, G.M.; Asche, S.; Mclain, H.; Chung, A.H.; Mehr, S.H.M.;
Cronin, L.; …
Frontiers in Astronomy and Space Sciences 11, 1485483,
2024
Šiaučiulis, M.; Knittl-Frank, C.; Mehr, S.H.M.; Clarke, E.;
Cronin, L.
Nature Communications 15 (1), 10261, 2024
Kahana, A.; MacLeod, A.; Mehr, S.H.M.; Sharma, A.; Carrick,
E.; Jirasek, M.; Walker, S.; …
arXiv preprint arXiv: 2408.09305, 2024
Weiss, G.; Sacks, J.; Mehr, S.H.M.; Rutter, L.; Cronin, L.;
Graham, H.
Astrobiology Science Conference, 2024
Asche, S.; Pow, R.W.; Mehr, S.H.M.; Cooper, G.J.T.; Sharma,
A.; Cronin, L.
ChemSystemsChem 6 (3), e202400006, 2024
Jirasek, M.; Sharma, A.; Bame, J.R.; Mehr, S.H.M.; Bell, N.;
Marshall, S.M.; Mathis, C.; …
ACS Central Science 10 (5), 1054-1064,
2024
Leonov, A.I.; Hammer, A.J.S.; Lach, S.; Mehr, S.H.M.;
Caramelli, D.; Angelone, D.; …
Nature Communications 15 (1), 1240, 2024
Jiang, H.; Mehr, S.H.M.
ChemRxiv, 2023
Cronin, L.; Mehr, H.; Craven, M.; Leonov, A.
US Patent App. 17/922,240, 2023
Mehr, S.H.M.; Caramelli, D.; Cronin, L.
Proceedings of the National Academy of Sciences 120 (17),
e2220045120, 2023
Mehr, S.H.M.; Tang, A.W.; Laing, R.R.
Magnetic Resonance in Chemistry 61 (2), 95-105,
2023
Rohrbach, S.; Šiaučiulis, M.; Chisholm, G.; Pirvan, P.-A.; Saleeb,
M.; Mehr, S.H.M.; …
Science 377 (6602), 172-180, 2022
Caramelli, D.; Granda, J.M.; Mehr, S.H.M.; Cambié, D.; Henson,
A.B.; Cronin, L.
ACS Central Science 7 (11), 1821-1830,
2021
Cronin, L.; Mehr, H.; Craven, M.; Leonov, A.
GB Patent WO 2021219999 (A1), 2021
Wilbraham, L.; Mehr, S.H.M.; Cronin, L.
Accounts of Chemical Research 54 (2), 253-262,
2020
Mehr, S.H.M.; Craven, M.; Leonov, A.I.; Keenan, G.; Cronin,
L.
Science 370 (6512), 101-108, 2020
Duros, V.; Grizou, J.; Sharma, A.; Mehr, S.H.M.; Bubliauskas,
A.; Frei, P.; Miras, H.N.; …
Journal of Chemical Information and Modeling 59 (6), 2664-2671,
2019
Cronin, L.; Mehr, S.H.M.; Granda, J.M.
Chem 4 (8), 1759-1761, 2018
Carta, V.; Mehr, S.H.M.; MacLachlan, M.J.
Inorganic Chemistry 57 (6), 3243-3253,
2018
Mehr, S.H.M.; Oshima, H.; Carta, V.; Patrick, B.O.; White,
N.G.; MacLachlan, M.J.
Organic & Biomolecular Chemistry 15 (39), 8418-8424,
2017
Mehr, S.H.M.; Depmeier, H.; Fukuyama, K.; Maghami, M.;
MacLachlan, M.J.
Organic & Biomolecular Chemistry 15 (3), 581-583,
2017
Mehr, S.H.M.; Patrick, B.O.; MacLachlan, M.J.
Organic Letters 18 (8), 1840-1843, 2016
Mehr, S.H.M.; Fukuyama, K.; Bishop, S.; Lelj, F.; MacLachlan,
M.J.
The Journal of Organic Chemistry 80 (10), 5144-5150,
2015
Mehr, S.H.M.; Giese, M.; Qi, H.; Shopsowitz, K.E.; Hamad,
W.Y.; MacLachlan, M.J.
Langmuir 29 (40), 12579-12584, 2013
Frischmann, P.D.; Mehr, S.H.M.; Patrick, B.O.; Lelj, F.;
MacLachlan, M.J.
Inorganic Chemistry 51 (6), 3443-3453,
2012