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Centre for Law, Medicine and Life Sciences

Faculty of Law



Dr. Cristina Crespo’s academic and professional background combines science and engineering (BS, MS, MPhil, PhD), management (Stanford SCPM), and patent law (USPTO). Her professional experience includes work in both the private sector as an electronics engineer, and in academia as a tenured associate professor. She is currently a Patent Agent with Bar Admission to practice in patent cases before the United States Patent Office (USPTO) and the Patent Trials and Appeals Board (PTAB), where she focuses primarily on medical device and computer-implemented inventions.

Cristina’s research interests include the patentability of information-age and biotech inventions,  specifically analysing the impact of recent US Supreme Court decisions on patent prosecution strategy and innovation.

Research Focus

Cristina’s research at the LML concerns the design and implementation of empirical legal studies involving biotech and gene-related patent protection as part of the research project Realising Genomic Medicine: Intellectual Property Issues.


Dr Crespo's selected publications include:

  • After Myriad, what makes a gene patent claim 'markedly different' from nature? M Aboy, J Liddicoat, K Liddell, M Jordan, C Crespo, Nature biotechnology 35 (9), 820
  • Myriad’s Impact on Gene Patents. Aboy M, Liddell K, Liddicoat J, Crespo C, Nature Biotechnology, 2016, Vol 34 Number 11 Pages: 1119-1123

  • Review of Recent Patents on Carbon Nanotube Based Electrodes for Use in Supercapacitor Applications. Diaz C, Ponder AR, McGee M, Crespo C, Aboy M, Recent Patents on Engineering, 2015, 9 (1) Pages: 21-28 

  • Review of Recent Patents on Detection and Quantification of Tremor. Aboy M, Crespo C, McNames J, Sprunger J, Recent Patents on Biomedical Engineering, 2013, 6 (2) Pages: 89-96

  • Review of Recent Patents on Wearable Movement Sensors. Aboy M, McNames J, Crespo C, Recent Patents on Biomedical Engineering, 2013, 6 (2) Pages: 82-88 

  • Clinical Application of a Novel Automatic Algorithm for Actigraphy-Based Activity and Rest Period Identification to Accurately Determine Awake and Asleep Ambulatory Blood Pressure Parameters and Cardiovascular Risk. Crespo C, Fernandez J, Aboy M, Mojon A, Chronobiology International: The Journal of Biological and Medical Rhythm Research, 2013, 30 (1-2) Pages: 43-54 

  • Automatic Identification of activity-rest periods based on actigraphy. Crespo C, Aboy M, Fernandez JR, Mojon A, Medical & Biological Engineering and Computing, 2012, 50 (4) Pages: 329-340