Scientific Program

Below you can find the sessions that will be held during the conference. All of which cover exciting and novel developments in the field.

We will touch on machine learning, precision medicine, and even hold a workshop on AWS Sagemaker. Click through to learn more!

Schedule-at-a-Glance

Select an event to see speaker information

DAY 1: March 15th, 2023

  • 11am - 6:30pm Check-in, Registration, and Posters

  • 11am Registration opens

    Boxed lunch available for attendees

  • 11am - 1pm Meet and Greet/Poster Set Up

  • 1:15pm Welcome Remarks

    Dr Inimary Toby

  • 1:20pm - 2:15pm Keynote Address

    Dr Ruth Roberts

  • 2:15pm - 2:30pm Break

  • 2:30pm - 3:45pm YSEA Session for Post-doctoral Fellows

    Dr Bernie Daigle

  • 3:45pm - 4pm Break

  • 4pm - 5:15pm YSEA Session for Students

    Dr Bernie Daigle

  • 5:15pm - 6:45pm Poster Session

    Students and Post-Doctoral Fellows. Light refreshments provided

  • 7pm Toyota Music Factory Shuttle

    Restaurant options available for dinner

DAY 2: March 16th, 2023

  • 8am - 4pm Registration Opens

  • 8:30am Welcome Remarks

    Dr Philip Harold

  • 8:30am - 9:30am Keynote Address

    Dr Kurt Zimmerman

  • 9:30am - 9:40am Break

  • 9:40am - 10:50am Breakout Session I

    New developments of applying Big Data and Machine Learning methods to precision medicine
    Dr Steve Qin

  • 9:40am - 10:50am Breakout Session II

    Machine learning and deep learning promote safety evaluation and risk assessment
    Dr Huixiao Hong

  • 10:50am - 11am Break

  • 11am - 12:20pm Breakout Sessions III

    Computational Approaches for Immuno-Oncology
    Dr Aik Choon

  • 11am - 12:20pm Breakout Sessions IV

    Single-cell multi-omics analysis: from technology development to applications
    Dr Jake Chen

  • 12:20pm - 1:15pm Lunch and MCBIOS Business Meeting

  • 1:15pm - 3:45pm Workshop I

    AWS SageMaker Immersion Day Workshop
    Dr Steve Fu

  • 2:30pm - 3:30pm Breakout Session V

    Data Science Trends in Industry
    Dr Funso Kumolu

  • 3:30pm - 3:45pm Break

  • 3:45pm - 4:15pm Plenary Talk

    Dr Mikhail Dozmorov

  • 4:20pm - 5:30pm Breakout Session VI

    Software Resources
    Dr Saadia Bihmidine

  • 4:20pm - 6pm Workshop II

    NIBLSE Educational Resources

  • 5:30pm - 6pm Workshop III

    Career Symposium

DAY 3: March 17th, 2023

  • 7:30am - 8:50am Board Meeting and Breakfast

  • 9am - 9:50am Keynote Address

    Dr Isaac Chan

  • 9:50am - 10am Break

  • 10am - 11:20am Breakout Session VI

    Network Medicine and Drug Discovery Applications
    Dr Zongliang Yue

  • 10am - 11:20am Breakout Session VII

    ML and Genomics
    Dr Inimary Toby

  • 11:30am - 12:15pm Keynote Address

  • 12:15pm - 1:30 pm Lunch, Awards Banquet and Closing

Dr. Ruth Roberts

Ruth A. Roberts, PhD

Dr. Ruth A. Roberts is Chair and Director of Drug Discovery at Birmingham University, UK and Cofounder of ApconiX, recent winners of the 2022 Queen's award for Enterprise in Exports. Previously, Ruth was Global Head of Regulatory Safety at AstraZeneca (2004-2014), Director of Toxicology for Aventis in Paris, France (2002-2004) and Head of Cancer Biology at Central Toxicology Laboratory (1990-2002).

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Dr. Kurt Zimmerman

Kurt Zimmerman, PhD

Dr. Zimmerman is an assistant professor at the University of Oklahoma Health Sciences Center who focuses on understanding the role of immune cells in polycystic kidney and liver disease(PKD). The goal of this research is to develop new approaches and targets for treatment of patients suffering from PKD.

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Dr. Isaac Chan

Isaac Chan, MD, PhD

Isaac Chan, M.D. Ph.D., is an Assistant Professor in the Department of Internal Medicine at UT Southwestern Medical Center and a member of its Division of Hematology Oncology. He specializes in immunotherapy, breast cancer, and metastatic cancer.

During his MD/PhD training at University of North Carolina and medical oncology fellowship at Johns Hopkins University.

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Dr. Ruth Roberts

Mikhail Dozmorov, PhD

Dr. Mikhail Dozmorov is an associate professor in the Biostatistics department, Virginia Commonwealth University. He develops statistical methods and bioinformatics tools for the integrative analysis of genomics datasets.

Through collaborations with basic and clinical cancer researchers, he analyzed and interpret RNA-seq, ChIP-seq, DNA methylation, single-cell sequencing data. He is developing biostatistical methods and software to analyze the three-dimensional structure of the genome obtained with Chromatin Conformation Capture sequencing technologies (e.g., Hi-C).

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Precision Medicine advocates for the practice of customized disease treatment and prevention such that all clinical decisions are made based on the characteristics of individual patients.

During this session we'll showcase the latest research developments in the areas of applying advanced Artificial Intelligence and Machine Learning and Big Data informatics in precision medicine.

Machine learning have been widely applied in almost every field such as science and medicine.

Advancements in machine learning and deep learning are paving the road to future data science and will have significant impacts on the public health. This session is intended for experts and students in this field to exchange their experiences and achievements and explore potential collaborations.
The fundamental questions for the integrative multi-omics network-based analysis are "How can we remove noise and boost signals from multi-omics data analytics?", "How can we screen biological conditional interactions and regulations using multi-omics data?", "How can we further improve the odds of precision medicine's success using the multi-omics data?".

This session aims to trigger the common interest in the MCBIOS community for rethinking and revisiting the crucial questions in utilizing multi-omics data for personalized medicine and coupling network biology with cutting-edge multi-omics technologies.
Single-cell analysis has revolutionized biomedical sciences by becoming a converging technology for modern genetics, cell biology, immunology, biochemistry, and disease biology studies.

Coupling with AI/ML, single-cell multi-omics studies may provide insights on how organs evolve and how a disease progresses. In this session, we will solicit late-breaking primary research in the follwing topics and more during a 2-hr session:
  • How can we impute data and reduce data noises from different single-cell analytical assays?
  • How can we balance knowledge-guided and knowledge-agnostic approaches in characterizing cell types and their relationships based on embedding clusters?
  • How can we infer intercellular and intracellular signaling network data at the molecular and cellular level?
Despite the significant improvements in the treatment of cancer with new treatment agents like advanced and adjuvant disease settings of solid tumors and hematologic malignancies, many patients still do not achieve long-term disease remission and control.

New computational methods are needed to extract, integrate and interpret these high-dimensional data sets to develop effective biomarkers for immunotherapies. This session will focus on new and innovative computational methods in immuno-oncology.
Amazon SageMaker is a fully managed machine learning service. With SageMaker, data scientists and developers can quickly and easily build and train machine learning models, and then directly deploy them into a production-ready hosted environment.

The only pre-requisite to participate the hands-on workshop is a laptop with internet access.