Dr. Maria Paraskevaidi

Research Associate

School of Pharmacy and Biomedical Sciences

Maudland Building, MB104


Dr Paraskevaidi is a Research Associate in the School of Pharmacy and Biomedical Sciences. Her research focuses on the detection and early diagnosis of neurodegenerative diseases and cancer using minimally-invasive biological fluids.

Maria is a member of  the Royal Society of Chemistry (RSC), the International Society for Clinical Spectroscopy (CLIRSPEC) and the Cochrane Community.

Full Profile


  • Research Associate, Imperial College London, 2019 (on-going)
  • Ph.D. Biomedical Sciences, Lancaster University/UCLan, 2018
  • B.Sc. Chemistry, University of Ioannina, Greece, 2015


  • Alzheimer’s Association International Conference (AAIC19), Los Angeles, USA, July 2019
  • International Society of Clinical Spectroscopy (SPEC2018), Glasgow, UK, July 2018
  • Alzheimer’s Association International Conference (AAIC17), London, UK, July 2017
  • American Society of Clinical Oncology (ASCO), Chicago, USA, June 2017
  • International Society of Clinical Spectroscopy (SPEC2016), Montreal, Canada, June 2016


Paraskevaidi M, Morais C.L.M., Lima K.M.G, Snowden J.S, Saxon J.A., Richardson A.M.T, Jones M., Mann D.M.A., Allsop D., Martin-Hirsch P.L., Martin F.L., Differential diagnosis of Alzheimer’s disease using spectrochemical analysis of blood. Proceedings of the National Academy of Sciences USA (2017).

Paraskevaidi M, Ashton K, Stringfellow H, Wood N, Keating P, Rowbottom , Martin-Hirsch P.L, Martin F.L. Raman spectroscopic techniques to detect ovarian biomarkers in blood plasma. Talanta (2018).

Paraskevaidi M, Halliwell D.E., Mann D.M.A, Allsop D, Martin-Hirsch P.L, Martin F.L. Raman spectroscopy to diagnose Alzheimer’s disease and dementia with Lewy bodies. ACS Chemical Neuroscience (2018).

Morais CLM, Paraskevaidi M, Cui L, Fullwood N.J, Isabelle M, Lima K.M.G, Martin-Hirsch P.L, Sreedhar H, Trevisan J, Walsh M.J, Zhang D, Zhu Y.G, Martin F.L. Standardization of complex biologically-derived spectrochemical datasets. Nature Protocols (2019).

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