GH and Q Services

GH and Q Services Ltd provides training and research services in analytical chemistry and related disciplines.

Our Offerings Include:

Students and prospective students: Beginning and Advanced Tutoring and Training Services.

Basic computations (Units, dilutions, spreadsheets, descriptive statistics).
Advanced Computations (Multi-linear regression, fitting, spreadsheets, R, etc. ).
HPLC with Labwork (Standards, sample prep, software, etc.)
Other topics in Analytical Chemistry (Chromatography, Spectroscopy, Detectors, etc. ).
Training for Procedure Driven Environments to Develop a Successful Mindset.

Individuals, Industry, and Universities: Routine and Bespoke Training Services.

Consultancy Services: We Are Here to Help You and Your Organisation Improve.

Research Partnerships

We can be a research partner in areas where we have specialist expertise.

Special Projects

GH and Q Services Ltd has a goal for improving access to science and education worldwide.

About

G H and Q Services was set up to help people learn and do research. We have:

Trained individuals using our Moodle based learning platform.
Done Masters level teaching on-site for clients.
Completed pilot studies through to publication.
Helped Prepare Grants.

Our day-to-day operations are managed by Dr Quentin Hanley.

Dr Hanley spent over three decades working in universities in the UK, West Indies, and USA. During that time he worked with thousands of students. He taught analytical chemistry and provided relevant life skills across all degree levels.

You can find an abbreviated CV (here) and a link to his research output (here).

Publications related to our activities:

“Deep learning criminal networks”, Chaos, Solitons & Fractals, Volume 172, 113579, 2023. Authors: Haroldo V. Ribeiro, Diego D. Lopes, Arthur A.B. Pessa, Alvaro F. Martins, Bruno R. da Cunha, Sebastián Gonçalves, Ervin K. Lenzi, Quentin S. Hanley, Matjaž Perc.

Sutton, J., G. Shahtahmassebi, Q. S. Hanley, and H. V. Ribeiro. “A heteroscedastic Bayesian generalized logistic regression model with application to scaling problems.” Chaos, Solitons and Fractals 182 (2024).

Vallbona, Bruna Falgueras, Ardiana Kajtazi, Golnaz Shahtahmassebi, and Quentin S. Hanley. “Raw data and noise in spectrophotometry.” Analytica Chimica Acta 1333 (2025): 343393.

(Preprint) Mohammed, Animotu, Golnaz Shahtahmassebi, Haroldo V. Ribeiro, Jack Sutton, and Quentin S. Hanley. “Nonlinear Rank Scaling and Hidden Structure in NHS Expenditure Transparency Data.” arXiv preprint arXiv:2506.19520 (2025).

(Preprint) Olugbemiga Osinuga, Elliott Kerry, Jack Sutton et al. The Dynamics of Crime Investigation, 09 September 2025, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-7572872/v1]