Srinivas leverages over two decades of experience in computer vision and AI. With a strong foundation in Biomedical Engineering and Computer Science, Srinivas has expertise that spans AI-driven diagnostics, video processing, and the integration of LLMs into healthcare solutions.

Dr. Eckart Bindewald is a seasoned bioinformatics and computational biology expert with over two decades of experience developing cutting-edge AI/ML algorithms for biomedical research. He holds a Ph.D. in Natural Sciences from the University of Heidelberg, Germany, specializing in structural bioinformatics and protein structure prediction.

Dr. Eckart Bindewald has more than 30 peer reviewed publications in the areas of bioinformatics and machine learning. He developed computational approaches for protein fold recognition, RNA structure prediction and design, nucleic acid nanotechnology as well as genome annotation.  He taught courses in  bioinformatics, mathematics, machine learning and AI.

Dr. Bindewald has made significant contributions to the field of biomarker discovery, mainly through integrating multi-omics data and advanced machine-learning techniques. His work has been pivotal in advancing the understanding of RNA and protein structures and developing novel computational tools for RNA and DNA structure prediction and design.

At Karyon Bio, Dr. Bindewald leads the AI/ML initiatives, driving innovations in biomarker discovery by leveraging his extensive experience in generative AI, deep learning, and data mining. His research efforts are focused on harnessing the power of artificial intelligence to uncover new biomarkers and therapeutic targets, ultimately advancing personalized medicine.

Dr. Dhatchana Moorthy is a pharmaceutical scientist with over 25 years of experience in drug discovery, biomarker research, and biotherapeutics. With a Ph.D. in Pharmaceutical Science and Biochemistry, Dr. Moorthy has led numerous preclinical research initiatives, focusing on gene therapy, targeted small molecules, and AI/ML-driven biomarker discovery.

At Karyon Bio, Dr. Moorthy spearheads the biomarker research team, leveraging his extensive expertise in genomics, computational drug discovery, and machine learning to identify and validate novel biomarkers for liver disorders such as NAFLD/NASH. His leadership in integrating AI/ML-based solutions with traditional bioinformatics approaches has been pivotal in advancing the precision and efficacy of biomarker discovery.

Throughout his career, Dr. Moorthy has contributed to the successful development of targeted therapies and has been instrumental in driving digital transformation in pharmaceutical manufacturing. His work is marked by a strong focus on translating complex scientific data into actionable clinical insights, enhancing the potential for personalized medicine.

Dr. Rajasekaran, with over 26 years of experience in the technology and healthcare sectors, is a seasoned expert in AI-driven imaging research and clinical diagnostics. Holding a Ph.D. in Computer Science, Dr. Raj has led high-value programs across various geographies, specializing in imaging platforms and AI/ML applications in healthcare.

At Karyon Bio, Dr. Raj spearheads the imaging research initiatives, focusing on the development of advanced imaging pipelines and AI/ML-driven diagnostic tools for biomarker discovery. His expertise includes digitizing tissue biopsy, radiology imaging, and applying deep learning models to analyze complex imaging data, enhancing the precision of non-invasive diagnostics.

Dr. Raj’s work is distinguished by his ability to integrate AI technologies with clinical workflows, leading to significant advancements in cancer diagnostics, including a patented AI-driven breast cancer diagnostic workflow. His leadership in imaging research continues to drive innovation at Karyon Bio, contributing to the development of next-generation biomarker discovery tools that are set to revolutionize patient care.

Mahati is an accomplished Bioinformatics Data Scientist with a proven track record in leveraging AI and machine learning for biomarker discovery. With a Master’s in Bioinformatics from Indiana University and a Bachelor’s in Biotechnology, Mahati excels at applying advanced computational techniques to genetic research.

Previously, she developed predictive models for gene biomarker identification, significantly advancing the classification of diseases like cancer and diabetic retinopathy using deep learning. Mahati also enhanced data accessibility through biomedical ontologies and NLP, and her expertise in Next-Generation Sequencing (NGS) supports informed decision-making in drug discovery.

Proficient in Python, R, TensorFlow, and PyTorch, Mahati is adept at leading interdisciplinary teams to create innovative AI-driven solutions. Her work is driven by a passion for precision medicine and improving patient outcomes through cutting-edge bioinformatics.

Janiel is an AI/ML expert specializing in biomarker discovery and personalized medicine. At KaryonBio, Janiel drives innovation by applying advanced machine learning models and deep learning architectures to complex biological data, including genomic and proteomic datasets. His work in natural language processing (NLP) and explainable AI (XAI) has significantly advanced the field, enabling the discovery of novel biomarkers and enhancing the transparency of AI predictions in healthcare.

Janiel is currently pursuing his PhD focused on applying Explainable AI and Deep Learning for anticancer drug response prediction using pharmacogenomics and environmental data. He has published research in top journals and presented at international conferences, showcasing his ability to bridge AI technology with practical biomedical applications.

Janiel excels in cross-functional collaboration, working closely with biologists, chemists, and software engineers to integrate AI solutions into research workflows. His commitment to advancing personalized medicine is reflected in his continuous contributions to the scientific community, mentoring young scientists, and participating in open-source projects.

Parneet Kaur is a bioinformatician with expertise in applying machine learning and deep learning methodologies to solve complex biological problems. With a strong academic background in Computational Biology (M.Tech, IIIT Delhi) and Biotechnology (B.Tech, Amity University), Parneet specializes in the analysis of omics data, biomarker discovery, and protein-ligand interactions. Her recent work includes the successful development of models to predict protein-ligand binding affinity, as well as using AI for blood-brain barrier permeability prediction. In addition to her technical acumen, Parneet is passionate about leveraging advanced computational tools to accelerate drug discovery and improve patient outcomes. She brings a forward-thinking approach to bioinformatics at Karyon Bio, combining innovation with collaborative problem-solving to advance liver care.