
A competitive job market requires candidates to differentiate themselves in order to secure employment. Hear from experts in the field about the skills spectroscopists need to have to succeed in this ever-changing job market.

Igor Lednev is a Distinguished Professor and Williams-Raycheff Endowed Professor at the University at Albany, State University of New York. Lednev’s research concentrates on applying spectroscopic techniques and technologies for medical diagnostics and forensic analysis. Some of his other research interests include analytical chemistry, biochemistry, biophysics, and laser spectroscopy. Besides his role at the University at Albany, Lednev is the founder and CTO of SupreMEtric LLC, as well as the founding director of the Center for Biophotonic Technology and Artificial Intelligence (CeBAI).

A competitive job market requires candidates to differentiate themselves in order to secure employment. Hear from experts in the field about the skills spectroscopists need to have to succeed in this ever-changing job market.

In this interview clip, Igor Lednev, a Distinguished Professor and Williams-Raycheff Endowed Professor at the University at Albany, State University of New York, talks about the progress made by SupreMEtric LLC, a startup that originated from research at the University at Albany.

In this interview clip, Igor Lednev, a Distinguished Professor and Williams-Raycheff Endowed Professor at the University at Albany, State University of New York, discusses the advancements that have resulted from Raman spectroscopy being integrated with chemometrics.

In this interview clip, Igor Lednev, a Distinguished Professor and Williams-Raycheff Endowed Professor at the University at Albany, State University of New York, recaps his talk about the integration of Raman spectroscopy and machine learning for forensic purposes in biomedical applications.

Spectroscopy
In celebration of Spectroscopy’s 35th Anniversary, leading experts discuss important issues and challenges in analytical spectroscopy.

Spectroscopy
In this study, regression and classification chemometrical algorithms were combined to achieve effective discrimination of pure body fluids from their binary mixtures.