SpIntellx
Chakra earned his PhD from the Department of Computer Science at the University of Toronto specializing in computer vision, machine learning and AI. Chakra was tenured Associate Professor in the Department of Computational and Systems Biology at the University of Pittsburgh.
Chakra co-founded SpIntellx to actualize the translational potential of these Pitt IP-fueled platforms. Chakra’s experience encompasses years in both industry and academia. He was the lead PI on several National Institutes of Health and National Science Foundation grants covering broad areas of bioimaging, molecular biophysics, computational and systems biology, and spatial intratumor heterogeneity. He holds several patents and has published extensively, appearing in Science Translational Medicine and Nature Communications, among other prominent journals.
SpIntellx
SpIntellx harnesses the computational power of proprietary unbiased spatial analytics, spatial systems pathology, and explainable artificial intelligence (xAI) to extract information from patient primary disease pathology samples to create predictive knowledge that is required to develop personalized therapeutic strategies, identify potential novel targets for drug discovery, optimally select patient cohorts for clinical trials and improve the predictive power of prognostics/diagnostics.