Sandi Kirk serves as the Administrative Assistant for Brite Institute, where she plays a supportive role in ensuring the daily operations of the organization.

Dr. Eugenia O’Kelly is a researcher and engineer dedicated to improving and saving lives through the better design of technology for high-risk systems...

Kareem Jamal is the Lead Android AI Engineer at BRITE Institute, where he is developing a retrieval-augmented generation mobile application for offline medical retrieval and decision support in pre-hospital care. His work focuses on building an Android-based RAG system that helps EMTs, medics, and field medical personnel access relevant treatment information in environments where internet access may be limited or unavailable.

Tarra Bantwal focuses on AI risk and strategy in high-stakes environments—where failure is not theoretical and the cost of error is operational, financial, or human. Her work centers on identifying failure modes, exposing hidden risk, and structuring systems to remain reliable under real-world pressure.In a landscape where AI governance is often applied without a grounded understanding of how risk actually manifests,

Lucas Bayati is an AI Engineering Manager and Tech Lead with 14 years of experience building and scaling AI-driven systems. He holds a PhD in Computer Science from the École de technologie supérieure (ETS) and specializes in the evolving landscape of LLMs and AI Agents.

Dr. Abdalla Mohammed Ali is a medical doctor and Google-certified IT professional dedicated to bridging the gap between clinical medicine, research data science, and healthcare technology.

Anna Zeidman is a healthcare and community health professional with an M.D. from Stanford University School of Medicine. She completed her pediatrics internship at Stanford, where she worked closely with patients, families, and care teams across inpatient and outpatient settings. Through this work, she developed a deep appreciation for the importance of communication, coordination, and equitable access to care in promoting patient safety.

Annie Esen is a Medical/Healthcare Virtual Assistant with experience supporting healthcare providers with patient coordination, clinical documentation, scheduling, and administrative workflows. She has a strong interest in improving patient care through efficient systems and is particularly focused on supporting telehealth providers. Annie is passionate about patient safety and is excited to contribute a practical, clinical perspective to AI-driven healthcare projects.

Arif Rahman is a computational mathematics and computer science student currently pursuing his Bachelor's of Science at the University of California, Los Angeles. He previously earned an Associate of Arts in Mathematics and Computer Science with a 4.0 GPA from Riverside City College.

Gerald Bautista currently lives in Jacksonville, FL. He recently graduated with an MSBA and MS - Fintech from University of North Florida. His career interests consists of data analytics, business analytics, operations, research, and AI tech leadership.

Gowthami Killi Recently completed her Master's in Health Informatics at University of North Texas after moving from India to the United States to pursue advanced education in Healthcare Technology. She also holds a Bachelor's degree in Biotechnology, which provided her with a strong foundation in Biomedical, Drug Discovery and research. Her academic and technical interests include health data analytics, Interoperability, Evidence based Research and role of AI in improving patient outcomes and healthcare systems.

Dr Gandhi a dentist who transitioned into health data. She completed her MSc in Epidemiology and Data Analytics from McGill University, Canada, and worked at the Canadian Institute for Health Information - analyzing large national health databases. Her background spans clinical care, data quality, statistical analysis, and health research, with hands-on experience in R, Python, and SAS, and working with large administrative health databases.

Mercy Tare Thomas is a Registered Nurse with experience in clinical care and healthcare support. She has a growing interest in healthcare innovation, public health, AI, and digital health solutions that improve patient care and accessibility. She is currently exploring DevOps, cloud technologies, and AI applications in healthcare, with a focus on how technology can support more efficient and patient-centered healthcare systems. She is excited to contribute a practical healthcare perspective while collaborating and learning in healthcare and technology-focused projects.

Plinio Rafael Durango Peluffo is a graduating Data Science student at University of San Francisco with a background that bridges engineering, statistics, and applied machine learning. Before pursuing data science, he earned a degree in Chemical Engineering from Universidad San Buenaventura, where he developed a strong analytical and problem-solving foundation.

Prateeksha Avinash Devikar is a data engineer who recently completed her Master of Science in Data Science at Northeastern University. She also holds a Bachelor of Engineering in Computer Science. Prateeksha specializes in high-availability data infrastructure and Large Language Model (LLM) observability, with technical expertise centered on engineering robust Retrieval-Augmented Generation (RAG) pipelines and designing advanced evaluation layers to audit model outputs for accuracy and faithfulness.

I am an AI/ML and Data Engineering professional with experience building scalable machine learning systems, healthcare analytics platforms, and cloud-based data solutions across Azure, GCP, and Snowflake environments. My work focuses on LLMs, NLP, AI reliability, predictive analytics, and enterprise data engineering, with hands-on experience developing...

Tania R. is an investigator in medical sciences with experience spanning clinical research, data science, artificial intelligence, and big data applications in medicine. Her work focuses on leveraging technology and analytical methods to improve healthcare research, decision-making, and patient outcomes.

Dr.Vamshi Gajjala is a healthcare and regulatory professional with experience in clinical care, pharmacovigilance, regulatory affairs, and laboratory research. He earned his medical degree from NTR University in India. He is currently pursuing an M.S. in Clinical Research Management at Rutgers University. His coursework focuses on clinical trial operations, GCP, regulatory compliance, study documentation, IRB oversight, informed consent, and safety reporting.

Ya-Tung Lee holds an M.S. in Operations Research from the Georgia Institute of Technology, with a focus on probabilistic models, statistical inference, and decision science. Building on her experience modeling clinical workflows to assess exposure risk, she is interested in understanding how AI influences human decision‑making in complex environments. She looks forward to contributing to efforts that improve the reliability of future healthcare systems.