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Paul Rees, PhD

Full Affiliate Member, Research Institute
Houston Methodist


Paul Rees received his Ph.D. in physics from Cardiff University. He calculated the optical properties of semiconductor lasers and the measured spontaneous emissions from laser diodes under operating conditions. He was a research fellow in the physics department at Trinity College, Dublin, Ireland, where he studied self-pulsation in laser diodes and the theory of many-body effects in wide band-gap semiconductors. He later joined the School of Informatics, University of Wales, Bangor, UK, where he was appointed senior lecturer.

In 2005, Dr. Rees was appointed as the chair of nanotechnology in the newly-formed Multidisciplinary Nanotechnology Centre at Swansea University. As an Full Affiliate Member of Houston Methodist Research Institute, Dr. Rees collaborates with the nanomedicine department to study the uptake of micro and nanoparticles by biological cells. Dr. Rees also participates as a mentor for the graduate exchange training program between the Houston Methodist Academy and Swansea University.

Description of Research

Dr. Rees’ research focuses on the uptake of micro and nanoparticles by biological cells using high throughput imaging techniques such as imaging flow cytometry and multi-field imaging microscopy, the biological process of particle uptake, and the study of dose responses for drug molecules deliv-ered by particulate delivery vectors.

Areas Of Expertise

Laser diodes Nonlinear systems and chaos Simulation of cell mitosis Colloidal quantum dot fluorophores
Education & Training

PhD, Cardiff University
Postdoctoral Fellowship, Trinity College Dublin

Investigating FlowSight® imaging flow cytometry as a platform to assess chemically induced micronuclei using human lymphoblastoid cells in vitro
Verma, JR, Harte, DSG, Shah, UK, Summers, H, Thornton, CA, Doak, SH, Jenkins, GJS, Rees, P, Wills, JW & Johnson, GE 2018, Mutagenesis, vol. 33, no. 4, pp. 283-289. DOI: 10.1093/mutage/gey021

Determining the Transcription Rates Yielding Steady-State Production of mRNA in the Lac Genetic Switch of Escherichia coli
Atitey, K, Loskot, P & Rees, P 2018, Journal of Computational Biology, vol. 25, no. 9, pp. 1023-1039. DOI: 10.1089/cmb.2018.0055

Objective profiling of varied human motion based on normative assessment of magnetometer time series data
Barnes, CM, Clark, CCT, Rees, P, Stratton, G & Summers, HD 2018, Physiological Measurement, vol. 39, no. 4, 045007. DOI: 10.1088/1361-6579/aab9de

The association between imported factors and prisoners’ mental health: Implications for adaptation and intervention
Bowler, N, Phillips, C & Rees, P 2018, International Journal of Law and Psychiatry, vol. 57, pp. 61-66. DOI: 10.1016/j.ijlp.2018.01.001

Organic matter identifies the nano-mechanical properties of native soil aggregates
Gazze, SA, Hallin, I, Quinn, G, Dudley, E, Matthews, GP, Rees, P, Van Keulen, G, Doerr, SH & Francis, LW 2018, Nanoscale, vol. 10, no. 2, pp. 520-525. DOI: 10.1039/c7nr07070e

Diagnostic Potential of Imaging Flow Cytometry
Doan, M, Vorobjev, I, Rees, P, Filby, A, Wolkenhauer, O, Goldfeld, AE, Lieberman, J, Barteneva, N, Carpenter, AE & Hennig, H 2018, Trends in Biotechnology. DOI: 10.1016/j.tibtech.2017.12.008

Characterizing Nanoparticles in Biological Matrices: Tipping Points in Agglomeration State and Cellular Delivery in Vitro
Wills, JW, Summers, HD, Hondow, N, Sooresh, A, Meissner, KE, White, PA, Rees, P, Brown, A & Doak, SH 2017, ACS Nano, vol. 11, no. 12, pp. 11986-12000. DOI: 10.1021/acsnano.7b03708

Reconstructing cell cycle and disease progression using deep learning
Eulenberg, P, Köhler, N, Blasi, T, Filby, A, Carpenter, AE, Rees, P, Theis, FJ & Wolf, FA 2017, Nature communications, vol. 8, no. 1, 463. DOI: 10.1038/s41467-017-00623-3

Data-analysis strategies for image-based cell profiling
Caicedo, JC, Cooper, S, Heigwer, F, Warchal, S, Qiu, P, Molnar, C, Vasilevich, AS, Barry, JD, Bansal, HS, Kraus, O, Wawer, M, Paavolainen, L, Herrmann, MD, Rohban, M, Hung, J, Hennig, H, Concannon, J, Smith, I, Clemons, PA, Singh, S, Rees, P, Horvath, P, Linington, RG & Carpenter, AE 2017, Nature Methods, vol. 14, no. 9, pp. 849-863. DOI: 10.1038/nmeth.4397

Theories underpinning kinship care
Pratchett, RC & Rees, P 2017, . in Children, Young People and Care. Taylor and Francis Inc. pp. 44-57. DOI: 10.4324/9781315686752

Spatially-resolved profiling of carbon nanotube uptake across cell lines
Summers, HD, Rees, P, Wang, JTW & Al-Jamal, KT 2017, Nanoscale, vol. 9, no. 20, pp. 6800-6807. DOI: 10.1039/c7nr01561e

Dot state properties of 1.3 µm low-loss InAs quantum dot lasers grown directly on Si
Elliott, SN, Shutts, S, Sobiesierski, A, Rees, P, Smowton, PM, Tang, M, Wu, J & Liu, HY 2016, . in 2016 International Semiconductor Laser Conference, ISLC 2016., 7765701, Institute of Electrical and Electronics Engineers Inc. 2016 International Semiconductor Laser Conference, ISLC 2016, Kobe, Japan, 9/12/16.

Generation of an in vitro 3D PDAC stroma rich spheroid model
Ware, MJ, Keshishian, V, Law, JJ, Ho, JC, Favela, CA, Rees, P, Smith, B, Mohammad, S, Hwang, RF, Rajapakshe, K, Coarfa, C, Huang, S, Edwards, DP, Corr, SJ, Godin, B & Curley, SA 2016, Biomaterials, vol. 108, pp. 129-142. DOI: 10.1016/j.biomaterials.2016.08.041

Multiscale benchmarking of drug delivery vectors
Summers, HD, Ware, MJ, Majithia, R, Meissner, KE, Godin, B & Rees, P 2016, Nanomedicine: Nanotechnology, Biology, and Medicine, vol. 12, no. 7, pp. 1843-1851. DOI: 10.1016/j.nano.2016.03.006

An open-source solution for advanced imaging flow cytometry data analysis using machine learning
Hennig, H, Rees, P, Blasi, T, Kamentsky, L, Hung, J, Dao, D, Carpenter, AE & Filby, A 2016, Methods. DOI: 10.1016/j.ymeth.2016.08.018

An Analysis of the Practicalities of Multi-Color Nanoparticle Cellular Bar-Coding
Rees, P, Brown, MR, Wills, JW & Summers, H 2016, Combinatorial Chemistry and High Throughput Screening, vol. 19, no. 5, pp. 362-369.

Quantifying the cellular uptake of semiconductor quantum dot nanoparticles by analytical electron microscopy
Hondow, N, Brown, MR, Starborg, T, Monteith, AG, Brydson, R, Summers, HD, Rees, P & Brown, A 2016, Journal of Microscopy, vol. 261, no. 2, pp. 167-176. DOI: 10.1111/jmi.12239

Label-free cell cycle analysis for high-throughput imaging flow cytometry
Blasi, T, Hennig, H, Summers, HD, Theis, FJ, Cerveira, J, Patterson, JO, Davies, D, Filby, A, Carpenter, AE & Rees, P 2016, Nature communications, vol. 7, 10256. DOI: 10.1038/ncomms10256

Improving well-being and outcomes for looked after children in Wales: a context sensitive review of interventions
Roberts, L, Maxwell, N, Rees, P, Holland, S & Forbes, N 2016, Adoption and Fostering, vol. 40, no. 4, pp. 309-324. DOI: 10.1177/0308575916675563

The emergence of neuroscientific evidence on brain plasticity: Implications for educational practice
Rees, P, Booth, R & Jones, A 2016, Educational and Child Psychology, vol. 33, no. 1, pp. 8-19.