HEADSTART SILICON VALLEY

Experience Real Biomedical Science and Data Engineering

Challenge yourself to an extensive biomedical science project and data engineering. Work with real engineers and scientists from top Silicon Valley companies through outstanding curriculum that covers both the theoretical and practical training.

HO JOON LEE

Sr. Data Scientist
Stanford Biomedical Research Center
“Genomics profiling of each patient is very complex and unique compared to other patients. The size of these genomic data is huge. The traditional analysis methods do not work well with these new types of large data. Therefore, we must apply AI to improve the analysis of genomics data to make the best clinical decision for each patient.”

HO JOON LEE

Sr. Data Scientist
Stanford Biomedical Research Center
“Genomics profiling of each patient is very complex and unique compared to other patients. The size of these genomic data is huge. The traditional analysis methods do not work well with these new types of large data. Therefore, we must apply AI to improve the analysis of genomics data to make the best clinical decision for each patient.”

Biomedical Internship Program

In this program, we will seek to achieve professional and practical experience biomedical science and engineering. Industry experts will guide you to come up with compelling projects and build them using modern AI techniques. Data scientists and engineers from top Silicon Valley companies will assist you through the multi-week journey.

Starting from the background of AI in the biomedical industry, you will look through genomic technologies and will be provided with chances to practice data engineering with the advice of professionals.
Project Agenda
  1. The introduction of AI in the biomedical industry
    • Background of precision medicine
    • Companies with AI in the biomedical industry
    • Personalized cancer vaccine development by machine learning
  2. Background of genomics
    • What are the genes and human genomes?
    • Genetic alterations
    • Sequencing technology
  3. The database of genomics data and application of machine learning
    • National Center for Biotechnology Information(NCBI)
    • GENCODE
    • The cancer genome atlas (TCGA)
    • Cancer Cell Line Encyclopedia (CCLE)
    • Catalogue of Somatic Mutations in Cancer (COSMIC)
  4. Comparative genomics
    • What is comparative genomics?
    • The principle of sequence alignment
    • Global and local alignment algorithm
    • Burrows-Wheeler Aligner (BWA)
  5. Immune cell profiling by machine learning
    • Immune cell types and background
    • Gene expression pattern for immune cells
    • Human Leukocyte Antigen (HLA)
    • Analysis of immune presentation by machine learning
  6. Analysis of SARS-CoV-2 genomes for vaccine development
    • Genomics organization of SARS-CoV-2 genomes
    • All possible mutations and their peptide changes
    • The principle of SARS-CoV-2 vaccine
    • Identification of best vaccine targets
You will be given the opportunities to present your project in front of scientists, developers, engineers and managers at partnership Biomedical companies. The program also includes seminar events at major institutions where you can present your work to an even bigger audience. Share your work and network with AI leaders to further showcase and grow your project.

Main Instructor

Ho Joon Lee
Sr. Data Scientist @Stanford Senior Data Scientist, Medicine- Med/Oncology

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