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    Dara Rouholiman

    Machine Learning Research Engineer

    Professional Background

    Dara Rouholiman is a talented and dedicated machine learning expert whose mission is to help people live healthier and longer lives by harnessing the power of advanced technology. With a wealth of experience in developing innovative machine learning systems, Dara is currently refining and evaluating these systems at the prestigious Stanford Artificial Intelligence and Medicine (AIM) lab. His extensive background enables him to serve users at scale, making technology accessible and beneficial for a wide range of individuals.

    Before joining Stanford's AIM lab, Dara was instrumental in the evolution of machine learning algorithms and systems at COR (Nueon Inc.), where he held the position of Machine Learning Engineer and Data Science Lead. During his tenure, he focused on ensuring that the machine learning initiatives met the high standards of effectiveness and efficiency needed in today's fast-changing digital landscape.

    Dara's entrepreneurial spirit shines through his role as a co-founder of Telesphora, a pioneering startup recognized for its innovative approach to addressing opioid overdose outbreaks through geotemporal event modeling. This accolade not only highlights his technical skills but also showcases his commitment to making a tangible difference in public health. In addition to his work at Telesphora, Dara has co-founded another stealth startup, where he served as the ML lead, thereby continuing to explore new frontiers in machine learning applications.

    Dara began his career at Stanford University, where he conducted crucial clinical validation studies for emerging technologies and digital health consumer devices. His time in the academic environment laid a foundation of theoretical knowledge and practical skills that he has carried throughout his career. He has made significant contributions to various research projects and has cultivated a rich understanding of both machine learning and its implications on health and wellness.

    Education and Achievements

    Dara earned his Bachelor of Science degree in Physical Chemistry and Bioinformatics from the University of California, Santa Cruz. The combination of his studies has equipped him with a unique perspective, merging the analytical rigor of chemistry with the innovative potential of bioinformatics—a field critical in today's health tech landscape.

    Throughout his educational journey and subsequent career, Dara has sustained a commitment to lifelong learning and professional development. His position as a former Clinical Research Scientist at Stanford University School of Medicine allowed him to marry his passion for science with real-world applications, contributing to meaningful health outcomes.

    Dara has contributed to impactful projects from early in his career as a Research Assistant in the Chen Lab at UC Santa Cruz, where he gained valuable insights into the nuanced connections between research, data analysis, and real-world public health challenges. His experience as a Data Scientist emphasizes his analytical thinking and ability to derive actionable insights from complex datasets.

    Achievements

    Over the years, Dara Rouholiman has amassed a remarkable portfolio of achievements that demonstrate his technical prowess and commitment to social impact. His work with Telesphora was particularly significant, earning accolades and recognition which reinforced the vital role that machine learning can play in combating critical public health issues like the opioid crisis.

    As a research scholar at Stanford University School of Medicine, Dara’s contributions to clinical studies have not only advanced scientific understanding but have also propelled the development of technologies that empower patients and improve their health management.

    His ability to communicate complex machine learning concepts and their applications effectively has positioned him as a thought leader in the technology space. Dara’s vision and execution continue to inspire new approaches to health technology that emphasize equity, accessibility, and user-centered design.

    Related Questions

    How did Dara Rouholiman develop his expertise in machine learning and its application to health technology?
    What inspired Dara Rouholiman to co-found Telesphora and how did it contribute to mitigating opioid overdoses?
    What innovative methods is Dara Rouholiman evaluating at the Stanford AIM lab that aim to enhance health outcomes?
    Can you explain the significance of Dara Rouholiman's background in physical chemistry and bioinformatics to his work in machine learning?
    How has Dara Rouholiman's experience at COR influenced his current projects in artificial intelligence and machine learning?
    Dara Rouholiman
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    Location

    San Francisco, California, United States