About Us
Cognitive atom is a scientific consulting firm specializing in providing solutions by bringing together a multidisciplinary approach to your problems by integrating techniques from various disciplines. Machine learning and AI are our bread and butter, but statistics and mathematics are the yeast on which our bread bakes.
Our DeFi Research Partner
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Our Team
Our team brings forth over 30-years of research and analytic experience. Together we have over 40 published research products that amount to over 600 citations and 10+ propriety algorithms.
Dr. John C. Plass, PhD,
Chief Research Officer
Dr. John C. Plass, PhD,
Chief Research Officer
Computational neuroscientist with expertise in prediction, statistical inference, and machine learning. I leverage cutting-edge computational techniques to build custom models tailored to client needs. Expertise include time-series analysis (e.g. trend forecasting, oscillatory dynamics); high-dimensional data (dimensionality reduction, sensor fusion); machine learning (computer vision, natural language processing); and "tricky" data (missing values, violated assumptions, non-parametric statistics).
Karthik G, M.S.
Chief ML Scientist
Karthik G, M.S.
Chief ML Scientist
Machine learning expert with experience in statistical modelling, pattern recognition, computer vision and machine learning algorithms. I leverage cutting-edge scientific computing techniques to solve problems across several verticals and industries including sales forecasting, customer segmentation, upsell predictions and campaign analytics. Expertise include neural networks, deep-learning models, LSTM, recurrent networks, reinforcement learning as applied to problems as varied as natural language processing, sales forecasting, customer segmentation, graph theory, network analysis, optimization and computer vision. Keen interest and experience in missing data prediction models.
Michael I. Demidenko, M.S.
Principal Researcher
Michael I. Demidenko, M.S.
Principal Researcher
Neurodevelopmental psychologist with expertise in hypothesis testing, statistical modeling, data science and visualization. I leverage theories of cognition, decision making and neural processes to form testable hypotheses of behavior. Expertise include high dimension data, nested data, measurement/scale evaluation, theory testing via structural equation modeling, dynamic timeseries modeling, and parametric/non-parametric analyses.
Our Clients
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