We are thrilled to announce the Pharmaceutical Data Science Conference (https://phds.nestat.org), a landmark event taking place on March 18-19, 2024, at the University of Connecticut. This inaugural conference brings together the brightest minds at the intersection of AI, pharma development, and data science. It's a unique platform for professionals to explore cutting-edge advancements in drug discovery, digital health, pharmacovigilance, and more. With keynote speeches from industry leaders and a diverse lineup of expert speakers, PharmaDS 2024 is poised to be a catalyst for innovation and collaboration in the pharmaceutical and data science communities.
- Explore the intersection of AI, Pharma Development, and Data Science.
- Delve into data-driven innovation and cutting-edge technologies in pharma.
- Collaborate with experts across various fields for industry-specific innovation.
- Learn about advancements in digital health, pharmacovigilance, patient safety, and clinical operations.
- Witness how technology is shaping drug development, regulation, and marketing.
- Haoda Fu from Eli Lilly and Company on "AI/ML for Drug Discovery."
- Max Kuhn from Posit PBC on "What Happens After the Model?"
- Gain insights from courses "Mastering Storytelling for Pharma Data Science Professionals" and "Large Language Models in Biomedicine," led by industry and academia experts.
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- Engage with industry leaders from Abbvie, Amgen, BeiGene, BMS, ICON, Mordena, FDA, Boehringer Ingelheim, Pfizer, and more, covering a wide range of topics from pharmaceutical medicine to digital health and patient safety.
- Poster Submission: https://phds.nestat.org/poster.php.
- For student participants, please consider our job placement service. You may register and upload your resume at https://phds.nestat.org/resume.php. Our sponsors will review the resumes (https://phds.nestat.org/sponsors.html) for potential career opportunities.
Seats are limited, and please register at your earliest convenience. Please find attached the flyer for the event.
We look forward to welcoming you to an event that promises to be transformative.
Best Regards,
Jingjing Ye and Kun Chen
Co-Chairs of PharmaDS Organizing Committee
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Kun Chen
Professor
Department of Statistics
University of Connecticut
https://kun-chen.uconn.edu
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