EDUCATION
The University of Liverpool
Liverpool, UK (top 0.7% of global universities)
Nov. 2017 – Sep. 2020
Doctor of Philosophy - Biomedical Engineering (part-time)
Dean’s list: the only international student who was granted a full PhD scholarship that year
Impact: implemented and in use for routine eye examinations in hospitals and clinics globally
Mar. 2017 – Mar. 2019
Master of Business Administration (part-time)
Business School is globally ranked in the top 10 by Financial Times (FT) and ranked #4 by CEO Magazine
Peer-reviewed publication: The Role of AI in Capital Structure to Enhance Corporate Funding Strategies
Sep. 2011 – Jul. 2015
Master of Engineering - Civil and Structural Engineering
A four-year integrated Bachelor’s and Master’s (MEng)
Achieved highest dissertation mark 91%; GPA: 3.7 (UK 2.1 honours)
EXPERIENCE
CEO & Co-Founder
Dec. 2022 - Jun. 2023
OCUWELL is a game-changing corneal assessment technology transforming eye care delivery
OCUWELL | Liverpool, UK
CTO & Co-Founder (Now Advisor)
Jan. 2021 - Present
Caena is a financial automation platform for private market investors and companies
CAENA.IO | London, UK
Senior Research Associate
Jun. 2015 - Dec. 2023
Composed 40+ scientific papers, 10+ talks, 3 patents, contributed to £8m+ research, and collaborated with 50+ scientists globally
University of Liverpool | Liverpool, UK
Business & Technology Consultant, Director
Jan. 2021 - Present
Empowering executives and startups, refining VC investments, shaping futures
Eliasy Consulting Ltd | London, UK
VOLUNTARY CONTRIBUTIONS
Jan 2021 - Jan. 2022
Founder and Chair of Biomedical Engineering Group
Institution of Engineering and Technology (IET)
Oct 2017 - Mar 2021
Founder & Chair of Science and Engineering’s Research Staff Society (SERAS)
University of Liverpool
Jan 2019 - Jan 2021
Vice Chair of Young Professional Group Committee
Institution of Engineering and Technology (IET)
AFFILIATIONS & ACCOLADES
Chartered
Chartered Engineer (CEng)
Chartered Mathematician (CMath)
Chartered Scientist (CSci)
Fellow
Institute of Biomedical Science (FIBMS)
Associate Fellow
Higher Education Academy (AFHEA)
Full Membership
Institute of Engineering and Technology (MIET)
Institute of Mathematics and its Applications (MIMA)
FEATURED ARTICLES
1. Enhancing Corporate Funding Strategies with AI
Citation: Eliasy, A. and Przychodzen, J., 2020. The role of AI in capital structure to enhance corporate funding strategies. Array, 6, p.100017.
Summary: This study explores AI's potential in the Capital Asset Pricing Model (CAPM) for more accurate expected returns. Using a deep learning neural network, it found over 60% improvement in cost of equity estimations. Results suggest AI could play a significant role in asset pricing models in the future.
2. AI in Corneal Diagnosis: Current Progress
Citation: Lopes, B.T., Eliasy, A. and Ambrosio, R., 2019. Artificial intelligence in corneal diagnosis: where are we?. Current Ophthalmology Reports, 7, pp.204-211.
Summary: This paper reviews artificial intelligence (AI) techniques and models for enhancing clinical decisions in corneal diseases and conditions. As corneal subspecialty has integrated technology for early diagnosis and improved treatments, AI now helps manage the vast amount of data from multimodal imaging devices, supporting clinicians in areas like refractive surgery screening.
3. In-vivo Corneal Biomechanics: Stress-Strain Index
Citation: Eliasy, A., Chen, K.J., Vinciguerra, R., Lopes, B.T., Abass, A., Vinciguerra, P., Ambrósio Jr, R., Roberts, C.J. and Elsheikh, A., 2019. Determination of corneal biomechanical behavior in-vivo for healthy eyes using CorVis ST tonometry: stress-strain index. Frontiers in bioengineering and biotechnology, 7, p.105.
Summary: This study introduces and validates a new algorithm for determining the biomechanical properties of the human cornea in vivo. Using finite element models and clinical data from 480 healthy participants, the algorithm produced a material stiffness parameter (Stress-Strain Index) that correlated with age but not with central corneal thickness or intraocular pressure. The method can potentially optimise cornea-related procedures like refractive surgeries and corneal implant introduction.
4. Validating New Method for Eye Pressure Measurement
Citation: Eliasy, A., Chen, K.J., Vinciguerra, R., Maklad, O., Vinciguerra, P., Ambrósio Jr, R., Roberts, C.J. and Elsheikh, A., 2018. Ex-vivo experimental validation of biomechanically-corrected intraocular pressure measurements on human eyes using the CorVis ST. Experimental eye research, 175, pp.98-102.
Summary: This study aimed to assess the validity of the Corvis ST biomechanical correction algorithm (bIOP) for determining intraocular pressure (IOP) in ex-vivo human eyes. Results showed that bIOP estimates were close to true IOP and exhibited no significant correlation with corneal thickness, whereas CVS-IOP measurements showed significant differences and correlations with thickness. The findings demonstrate the effectiveness of the bIOP correction in providing accurate IOP estimates and reducing associations with corneal thickness.