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Upcoming events

    • Thu, October 16, 2025
    • Sat, October 18, 2025
    • University of Connecticut
    • 147
    Register

    Join us for an exciting event where industry leaders, academics, and students converge to explore the latest trends and innovations in our field. 

    Registration Information:

    Early Bird Registration: Get the opportunity for discounted rates available.

    The registration fee is the same for both virtual and in-person attendance.

      Symposium rates:

      Category

      Early Bird              

      Regular             

      Industry Professionals                   

      $500

      $575

      Academia

      $300

      $380

      Trainees (Students or Postdocs)

      $150

      $180 


      Your registration for the Dahshu Data Science Symposium provides: 
      • Full access to all conference sessions, including keynote talks and scientific discussions.
      • Networking opportunities with leading experts, researchers, and peers from both the industrial and academic sectors.
      • Access the online conference app Cvent.

      Short Courses Registration: 

      Please note that our short courses are offered separately from the general symposium registration. These courses are designed to deliver intensive, topic-specific training, hence requiring a distinct registration and fee. Each short course is crafted to provide in-depth knowledge and hands-on experience in its subject area.

      Available Short Courses

      • Causal Generalist Medical AI (Full day)
      • Precision Medicine and Companion Diagnostics: Statistical and Design Considerations (Half day, Morning)
      • Bayesian Clinical Trial Designs and Their Implementation (Half day, Afternoon)
      • Highly Adaptive Lasso and Targeted Learning (Full day)

      Half-Day Short Course Fees:

      Category

      Fee

      Industry Professionals $250
      Academia $150 
      Trainees (Students or Postdocs) $75


      Full-Day Short Course Fees:

      Category

      Fee

      Industry Professionals $350
      Academia $250 
      Trainees (Students or Postdocs) $100

      Detailed information about each short course can be found on our webpage. Please select the short course you wish to attend during the registration process.


      Refund & Transfer Policy:

      Please note that all registrations are non-refundable. Unattended fees will support Dahshu's charitable initiatives.

      We understand that plans can change, which is why we offer the flexibility to transfer both your symposium and workshop registrations. Should you be unable to attend the DahShu Data Science Symposium or the workshop you've registered for, rest assured that your registration can be transferred to another individual. To initiate a transfer, please send a detailed request to dahshu2025@gmail.com. Our team is here to help make the transition as smooth as possible.


      How to Register:

      Secure your place by visiting completing the registration. Don't miss the Early Bird savings!

      Contact Us: For registration assistance or inquiries, reach out at TBD.


      Important Dates:

      • Early Bird Registration Deadline: September 1, 2025
      • Registration End: October 13, 2025


      About the Event:

      Check our homepage for more information.

      Join us at the DahShu Data Science Symposium for a journey of discovery, innovation, and collaboration in the burgeoning fields in Statistics, Data Science and AI!


    Past events

    Fri, March 14, 2025 Estimating minimum effective doses and their response rates in combination trial using iPIPE
    Fri, February 14, 2025 Assessing the impact of accelerated approval
    Thu, May 16, 2024 Dahshu Data Science Symposium: Empowering Medical Insights with Data and AI
    Fri, March 29, 2024 Mapping Cellular Interactions from Spatially Resolved Transcriptomics Data
    Fri, January 26, 2024 Large-scale pancreatic cancer detection via non-contrast CT and deep learning
    Fri, December 01, 2023 Explainable AI: Model-Agnostic Interpretability in Machine Learning
    Fri, October 13, 2023 Generative AI for Healthcare and Life Sciences on AWS
    Fri, September 29, 2023 NAIR Software: Unlocking the Immune System's Secrets by Network Analysis and Advanced Machine Learning
    Fri, August 18, 2023 Sequential Decision Making with Uncertainty: Contextual Bandits as a Missing Data Problem
    Fri, July 07, 2023 The landscape of tolerated genetic variation in humans and primates
    Fri, April 28, 2023 Does Real-World Evidence have a role in Precision Oncology?
    Fri, January 27, 2023 Veridical data science with a case study to seek genetic drivers of a heart disease
    Fri, November 11, 2022 Genes, Brain, and Us
    Fri, October 14, 2022 Clinical and Analytical Validation of Companion Diagnostic Devices and Their Applications in Personalized Medicine
    Fri, July 15, 2022 Medical AI
    Fri, June 24, 2022 Machine Learning for Evidence Generation from Real World Longitudinal Patient Electronic Health Records
    Fri, April 29, 2022 Increasing the reproducibility and rigor of single-cell RNA-seq through the use of statistics and data science
    Fri, February 25, 2022 Drug Discovery in the Era of Precision Medicine
    Fri, January 21, 2022 Statistical analysis of single-cell RNA-seq data with multiple samples
    Fri, November 19, 2021 Fusing multi-modal patient data for machine learning in cardiovascular disease
    Fri, September 17, 2021 Single arm trials with a synthetic control arm built from RWD
    Fri, August 20, 2021 In Search of Effective and Reproducible Clinical Imaging Biomarkers for Population Health and Oncology Applications of Screening, Diagnosis and Prognosis
    Fri, June 25, 2021 The New FIRRMA Regulations and Their Impact on Biotechnology and Life Science Industries
    Mon, May 24, 2021 Automated Image Labeling for Medical Imaging AI
    Fri, April 23, 2021 Dynamic Data Monitoring of Ongoing Clinical Trials
    Fri, March 19, 2021 IP Legal Considerations for Precision Medicine and Digital Health Companies
    Fri, February 19, 2021 Machine Learning Based Integrative Multi-Omics Analysis— Presented by Global Champion of All Three PrecisionFDA AI Challenges
    Fri, January 29, 2021 How to quantify and interpret the treatment effects for comparative clinical studies of COVID-19 diseases?
    Fri, November 13, 2020 Telehealth and Other Advancements in Healthcare Technology Spurred by COVID-19
    Fri, October 02, 2020 A New Measurements-Based Approach to Machine Learning for Bioinformatics
    Fri, September 25, 2020 Under the hood of 1Point3Acres COVID-19 map & tracker
    Fri, August 28, 2020 Demystifying the drop-outs in single cell RNA-seq data
    Fri, July 17, 2020 Using multiple natural experimental designs to triangulate the impact of a policy change
    Fri, May 29, 2020 How AI is changing the financial service industry
    Fri, March 13, 2020 AI Drug Discovery and Repurposing
    Fri, February 28, 2020 The i3+3 Design: A Rule-Based Dose-Finding Approach for Phase I Trials
    Fri, December 13, 2019 Statistical Considerations in the Clinical Development of Novel Cancer Therapies
    Fri, November 15, 2019 15 Tips on Making Better Use of R Markdown
    Wed, October 02, 2019 Principles of Data Science
    Fri, September 20, 2019 AI Derived Personalized Solution: The Key Driver in the Era of Digital Health
    Fri, August 09, 2019 Scalable Automatic Machine Learning with H2O
    Fri, June 07, 2019 Network Meta-Analysis for Decision-Making
    Fri, May 03, 2019 Global Prediction of Gene Regulatory Landscape Using Bulk and Single-Cell RNA-seq
    Fri, March 08, 2019 Innovative adaptive design for immune-oncology trials
    Fri, February 22, 2019 Survival analysis methods for non-proportional hazards
    Tue, January 08, 2019 Design of Dose-Response Clinical Trials
    Fri, November 16, 2018 Neyman-Pearson Classification Algorithms and NP Receiver Operating Characteristics
    Fri, October 19, 2018 Machine Learning in Medical Imaging: the Challenge and Opportunity in Drug Development and Precision Medicine
    Fri, September 14, 2018 Disease Heritability Inferred from Familial Relationships Reported in Medical Records
    Fri, July 20, 2018 Big Data and Artificial Intelligence in Healthcare
    Fri, May 25, 2018 The Genomic Landscape and Pharmacogenomic Interactions of Clock Genes in Cancer Chronotherapy.
    Mon, May 21, 2018 Estimation of Treatment Effect under Non-Proportional Hazards
    Mon, May 21, 2018 Subgroup Identification in Drug Development: Are Post-Selection Adjustments of Efficacy Useful?
    Mon, April 30, 2018 An accurate and robust imputation method scImpute for single-cell RNA-seq data
    Fri, March 30, 2018 Genome-scale signatures of gene interaction from compound screens predict clinical efficacy of targeted cancer therapies.
    Thu, February 22, 2018 Expression Recovery in Single Cell RNA Sequencing
    Wed, January 31, 2018 Single-cell transcriptomics reconstructs fate conversion from fibroblast to cardiomyocyte
    Thu, October 19, 2017 Statistical Challenges in Immuno-Oncology, a Cellular Therapies Perspective
    Tue, September 26, 2017 Big-Data Analysis Points Toward a New Cancer Therapeutic Discovery Approach
    Thu, September 14, 2017 Software Patenting: The Current State of the Law
    Mon, August 21, 2017 The Asthma Mobile Health Study, a Large Scale Clinical Study Using ResearchKit

    For more events please check:

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