The Team

Igor Lednev, PhD

Founder and CTO

Igor K. Lednev is the Williams-Raycheff Endowed Professor in Chemistry and a SUNY Distinguished Professor at the University at Albany, State University of New York. He is an Adjunct Professor in the Department of Biological Sciences and a faculty Member of the RNA Institute. Igor is a founding director of Center for Biophotoncs Technology and Artificial Intelligence (CeBAI). His research is focused on the development and application of novel laser spectroscopy for forensic purposes, biomedical diagnostics and fundamental biochemistry. Igor received several prestigious awards including the 2024 EAS Award for Outstanding Achievements in Vibrational Spectroscopy, the Charles Mann Award for Applied Raman Spectroscopy and the Gold Medal Award from the Society for Applied Spectroscopy. Igor is a Fellow of the Royal Society of Chemistry, U.K and the Society for Applied Spectroscopy.

U.S. Congressman Paul Tonko acknowledged Igor's research accomplishments at the U.S. House of Representatives Hearing on Advancements in Forensic Science in the U.S. in September 2019.  Igor was recruited by the United Nations to give a week-long “National Training Course on using vibrational techniques to enhance the forensic analysis” for the National Crime Laboratory of Chile in Santiago in January 2020. He has served as an advisory member on the White House Subcommittee for Forensic Science. Together with the National Institute of Justice (NIJ), Igor founded the NIJ Forensic Science Symposium at Pittcon in 2018, which became an annual event since then, including 34 invited talks and a poster session.

Igor has co-authored over 290 publications in peer-reviewed journals reaching a h-index of 80, and 10 patents. His work has been covered by the media more than 100 times including 22 TV interviews, and publications in the Wall Street Journal, Chemical & Engineering News, and Forensic Magazine. 

Ray Wickenheiser, DPS, MBA

Chief Executive Officer

Ray Wickenheiser is the retired Director for the New York State Police Crime Lab System, headquartered in Albany, New York. Ray is also a Past President of the American Society of Crime Laboratory Directors (ASCLD) and the 2022 Briggs J. White Ward recipient for excellence through leadership in forensic science management. Ray has over 41 years of forensic science experience, with 23 of those as a Crime Lab Director in local and State Crime Laboratories. His areas of expertise include crime lab administration, quality management, forensic DNA, serology, hair and fiber trace evidence, physical matching and comparison, glass fracture analysis, forensic grain comparison, crime scene investigation, conflict resolution and forensic investigative genetic genealogy (FIGG).  

Ray served two years as the Chair of the Forensic Science Standards Board (FSSB) for the Organization of Scientific Area Committees (OSAC) for Forensic Science (2022-2023). He is a fellow in the American Academy of Forensic Science (AAFS), and has been an invited guest to the Scientific Working Group on DNA Analysis Methods (SWGDAM) from 2013-2023.  Ray was a member of the Department of Justice: National Institute of Justice Sexual Assault Forensic Evidence Reporting (SAFER) Working Group publishing the “National Best Practices for Sexual Assault Kit: A Multidisciplinary Approach”.

Ray has conducted audits in 10 states as an ISO auditor and DNA lead auditor.  He has testified as an expert witness over 90 times, published numerous scientific articles reaching a h-index of 14, a book chapter, and is a frequent presenter at workshops and conferences.  Ray has served as a peer-reviewer for a number of scientific journals and advisor to several university forensic programs. He has also served as an adjunct professor, teaching criminalistics at Montgomery College, Maryland. Ray holds a Bachelor of Science Honours degree from the University of Regina, Canada, a Master of Business Administration degree from the University of Louisiana at Lafayette, Louisiana, a Doctorate of Professional Studies in Bioethics, Health Ethics and Policy from Albany Medical College, and a certificate in Genealogical Research from Boston University.  

Kamron Fazel, PhD

Lead Machine Learning Engineer

Kamron Fazel leads the Design of Experiments, data pipeline design, data analysis methods, algorithm design, and testing for next generation criminal forensics applications at SupreMEtric.

He served as a U.S. Naval officer at Naval Reactors, performed energy and materials research at the Naval Research Laboratory, consulted on medical and power systems at MPR, and designed a stock trading algorithm and app at Fazel Alan Research. He earned a Ph.D. at Rensselaer Polytechnic Institute working on machine learning for atomistic simulations of electrochemistry.

Luis Perez-Almodovar, PhD

Spectroscopy and Machine Learning Engineer

Luis Perez is an analytical chemist with a Ph.D. from the State University of New York at Albany, where his research focused on the development of novel spectroscopic methods for forensic and biomedical applications. He has led projects spanning Alzheimer’s disease detection in blood, PFAS analysis in fish blood, and non-invasive identification of body fluids using Raman spectroscopy and machine learning. His work bridges chemistry, data science, and translational research, and has been featured in peer-reviewed publications and conference presentations.

At SupreMEtric, Luis applies his expertise in spectroscopy and machine learning to advance novel analytical solutions. He contributes to the development and validation of detection algorithms and chemometric models that enhance the sensitivity and specificity of Raman-based systems. Luis brings a unique blend of scientific rigor, startup experience, and an entrepreneurial mindset to the team.

Alex Mozeak

Software Engineer

Alexander Mozeak is a full-stack software engineer with over nine years of distinguished experience architecting and developing software for corporations, startups, and nonprofit organizations. Having graduated from CUNY Hunter College with a degree in computer science, his expertise spans the complete technology stack, with particular mastery in JavaScript, Ruby, and SQL ecosystems. Throughout his career, Alex has collaborated with prestigious clients including the Smithsonian Institute, ICA San Francisco, and the Tang Teaching Museum at Skidmore College, consistently delivering innovative digital solutions that balance technical excellence with exceptional user experience.

Recognized for his leadership in both technical innovation and project management, Alex has been honored as a Grant for The Web awardee for two consecutive years and has secured over $100,000 in funding for groundbreaking projects. His strategic approach to infrastructure optimization has yielded strong results, including reductions in cloud operational costs and enhanced security implementations protecting against critical vulnerabilities. Beyond his technical acumen, Alex excels at collaboration, having successfully managed international development teams while maintaining the highest standards of code quality and creative vision alignment.

Mohamed O. Amin

Senior Research Scientist

Mohamed O. Amin is a Senior Research Scientist at SupreMEtric and a Postdoctoral Researcher in Chemistry at the University at Albany (SUNY). Trained in Analytical and Forensic Chemistry (PhD, Kuwait University), he designs deployable, high-performance assays at the intersection of vibrational spectroscopy (Raman/FT-IR), mass spectrometry, and machine learning. His work supports real-world applications in forensic body-fluid identification, food authenticity and safety, and medical diagnostics. Over the past decade, Mohamed has led comprehensive method development—from hypothesis and instrumentation to calibration, validation, and field transfer—co-authoring over 40 peer-reviewed publications and a book chapter. He also serves on the Editorial Board of BMC Chemistry (Springer Nature). 

At SupreMEtric, Mohamed emphasizes improving the sensitivity, specificity, and robustness of Raman-based technology, while ensuring the solutions are simple, fast, and practical for practitioners—from the bench to the scene.