Chris Conlan is the President of Conlan Scientific. He began his career as an independent data science consultant for the Washington D.C. area, and later founded Conlan Scientific by leveraging his personal network of talented data scientists and researchers. Chris specializes in financial modeling, machine vision, and cloud management. He has used his talents to serve businesses in many industries, including lending, securities trading, artificial intelligence, and manufacturing. Now, he is … [Read more...]
The Conlan Scientific team brings together top-of-the-line talent with diverse backgrounds. Our members have served the high-tech needs of large corporations and seed-round startups. We are ready, onsite or remote, to work with your organization.
Stephen Nawara received a PhD in Pharmacology from Loyola University Chicago, during which he discovered a love for programming and data analysis. There, he developed a semi-automated method for assessing the location of brain lesions in a rodent, as well as a stochastic theoretical model of rodent behavior. He has since leveraged that experience to become an independent R developer, data scientist, and tutor. Stephen excels at applying advanced statistical and machine learning techniques to … [Read more...]
James Kelly is an Astrophysics PhD and software engineer with 5 years industry experience working in research and development. He graduated from University of Central Lancashire with a 1st Bachelor's Degree in Mathematics and received an award from the UK’s Institute of Mathematics for outstanding academic achievement. During his PhD James published several papers and presented his research at multiple international conferences. Following his PhD James worked for a startup firm developing a m … [Read more...]
Eric Scheier has spent the past decade using data science to spur the deployment of transformative technologies, primarily in clean technology and financial technology. He has conducted peer-reviewed research on renewable energy systems, developed market intelligence pipelines and production-grade trading systems for multi-million dollar portfolios, and extracted value from myriad datasets using machine learning and data visualization. Eric received a dual degree in Environmental Science … [Read more...]