With a Ph.D. in Experimental Medicine and more than 16 years in data analytics and development, Dr. Peng Zhang stands at the forefront of healthcare innovation. His enthusiasm for melding data-driven strategies with transformative healthcare technologies guides Copoly.ai’s mission. His diverse expertise fosters an environment where strategic foresight and innovative spirit enrich the biopharma industry.

Dr. Piru Perampalam, who has a Ph.D. in Biochemistry, brings over a decade of expertise in bioinformatics and computational biology to the table. His pivotal role in formulating Copoly.ai’s scientific direction embodies a state-of-the-art approach. With extensive experience in optimizing pre-clinical models and applying sophisticated analytical methods, he is dedicated to advancing precision medicine and AI-powered drug discovery platforms.

Giselle Bagatini, with her Master’s in Data Science and over eight years of experience in the field, leads the AI initiatives at Copoly.ai. Her substantial expertise in data science and machine learning drives innovation across diverse industries. Her skill in natural language processing and generative AI is crucial to our projects’ success, steering strategic decisions and the implementation of comprehensive data science solutions.

Banafsheh is a computational biologist and bioinformatician, she is passionate about applying her computer science background to omics data analysis, always with the goal of improving quality of life. Her current projects involve analysis of cancer samples using scRNAseq, ADT, TCR data.

Computational biology researcher specializing in single-cell and spatial omics, statistical modeling, and therapeutic target discovery. Developed methods to detect disease-associated cellular interactions across immune and ophthalmic diseases.

Tina is a Computational biologist specializing in oncology, multimodal omics integration, and translational research, applying computational approaches to clinical and real-world datasets to support biomarker discovery and therapeutic development.

Nehad is a Principal AI Scientist specializing in intelligent automation by integrating ML advances into existing pipelines and processes. Currently building systems for scientific discovery by uniting search with agentic approaches.

Alex is a Senior Data Scientist at Copoly, specializing in designing agentic systems. He received his master’s in computer science, focused on the ease of use of machine learning in medical interventions, and has since worked on a variety of artificial intelligence integrations in domains ranging from video games to wearable technology.

Anudeep is a machine learning engineer who builds production AI systems for real-world problem solving, focusing on deep learning applied to medical imaging and large-scale language model–based reasoning systems.

AI enthusiast and HCI Master’s graduate blending expertise in LLMs, NLP, and Computer Vision to build intuitive, user-focused tech. He thrive’son innovation, creative problem-solving, and lifelong learning. When he’s not shipping code, he’s channeling my competitive spirit into high-energy badminton rallies or table tennis matches.

Sergio is a Principal Scientist and leads OfficeSage, architecting secure multi-agent AI infrastructure. He supports OncoSage and consults for major pharma on optical pool screen analysis and software development. With a Ph.D. in structural bioinformatics and research at McGill, Sergio blends expertise in protein shape analysis with a focus on building secure, scalable cloud systems.

Gabriel is a senior data scientist and statistician specializing in healthcare LLM innovation. He architects frameworks to prioritize data integrity and fact-checkability by anchoring generations to verified sources. Expert in Python, R, and SAS, Gabriel’s experience includes experimental design, regulatory compliance, and legacy code migration, combining statistical rigor with cutting-edge AI to deliver scalable life sciences solutions.

As a computational biologist, Mike works at the intersection of bioinformatics, machine learning and cloud computing. He enjoys building data-driven solutions for healthcare and biological research, with a focus on scalable and practical technologies.