Mar 312023

Bioinformatics Data Science Workshops
Bioinformatics Core
Department of Quantitative Health Sciences
JABSOM, University of Hawaii at Manoa

*All workshops include theory and hands-on practice

Bioinformatics Data Science Workshops will offer a two-day virtual workshop from Wednesday, April 5, to Thursday, April 6, @ 9 am-12 pm HST. If you are interested in participating, please fill out this form. Please remember that registration is limited and depends on a first-come, first-serve basis.

The registration deadline is Monday, 4/3, 23:59 HST.  A Zoom link will be sent on Tuesday, 4/4

Please Register Here

Workshop Day 1: Introduction to Cloud Computing

Date/Time: 9:00 am – 12:00 pm, HST, April 5, 2023      

  • Concepts of cloud computing, cloud computing platforms and services
  • Using cloud computing in biomedical research
  • Google Cloud Platforms (GCP)
  • Hands-on labs: GCP account, cloud storage bucket, virtual machines, Jupyter notebooks

Workshop Day 2: DNA Methylation and Whole-Genome Bisulfite Sequencing Data Analysis
Date/Time: 9:00 am – 12:00 pm, HST, April 6, 2023

  • Introduction to DNA methylation, DNA methylation assays, Whole-genome bisulfite sequencing(WGBS)
  • WGBS data analysis workflow: methylation level extraction, differential methylated regions (DMRs) detection
  • Hands-on practice: Bismark workflow, metilene

World Time Buddy (WTB) is a convenient world clock and a time zone converter:


Mar 062023

We are excited to announce that the registration for the 2023 Annual Biomedical Science & Health Disparities Symposium is now OPEN! The symposium will occur April 20 – 21, 2023, both virtually and in-person. 

Event Description: The Annual Biomedical Sciences & Health Disparities Symposium attracts some of the top health science research and ideas from throughout academia in Hawaii. Medical Students, Residents, Medical Fellows, Graduate Students, Post-Doctoral Fellows and Undergraduates are invited to present their work. Research Associates and Faculty are encouraged to attend. The Symposium will have both virtual and live components this year. Friends and family may attend the online event. The live, in-person poster sessions will be closed to the general public.

Day 1 : April 20, 2023 (Mixed Format)

  • Graduate Students, Post-Doctoral Researchers (In-Person posters in Sullivan Center)
  • Medical Students, Residents, and Medical Fellows (5 min Powerpoint presentations via Zoom)
  • Keynote Seminar (In MEB 315 at 12:00 – 1:00 PM, also available via Zoom)

Day 2 : April 21, 2023 (In-Person)

  • INBRE Student Research Experience (SRE) Students
  • Undergraduate Students, Community College Students

For more information about the conference or to register, see the website: deadline to submit an abstract is Wednesday, March 15, 2023.

If you have any questions or concerns, please email If you are affiliated with INBRE, please email



Feb 062023

“Harnessing Big Data for Precision Oncology”

Leng Han (headshot)

Leng Han, Ph.D.,

Associate Professor and CPRIT scholar at Texas A&M University,

Institute of Biosciences & Technology

Thursday, February 9, 2023

12:00 – 1:00 PM HST

Zoom Details


Meeting ID: 921 2449 1501

Passcode: QHS646


Dr. Han is an Associate Professor and CPRIT scholar at Texas A&M University, Institute of Biosciences & Technology. Before join TAMU, he is an Assistant Professor at The University of Texas Health Science Center at Houston. Dr. Han obtained his PhD from Chinese Academy of Sciences and did postdoc training with Dr. Joseph C. Wu at Stanford University, and Dr. Han Liang at MD Anderson Cancer Center. Dr. Han’s lab focused on harnessing big data for precision oncology. In the past several years, his labs contributed to RNA-targeted therapy, target therapy and immunotherapy, and published several papers in high profile journals, including Cancer Cell, Nature Metabolism, Nature Immunology, Nature Communications, The Innovation, Cell Systems, Cell Reports, Nucleic Acids Research, Genome Medicine, Journal of the National Cancer Institute. He has been invited to contribute review, commentary and spotlight by multiple journals, including Nature Reviews Clinical Oncology, Nature Biotechnology, Trends in Genetics, Trends in Cancer, Trends in Molecular Medicine, Genome Medicine, and Oncogene. To date, he has published >160 peer-reviewed papers, with a total of > 20,000 citations (Google scholar, H-index = 56).

For more information, contact Dr. Chathura Siriwardhana at Tel. 692-1487 or Email: ; or
Hua Yang at Tel. 692-1661 or Email:

Jan 182023

Automating Machine Learning for Predicting Risk of Alzheimer’s Disease

Jason Moore, Ph.D.,

Chair of Department of Computational Biomedicine at Cedars-Sinai Medical Center

Dr. Moore completed a Ph.D. in Human Genetics and an M.A. in Statistics at the University of Michigan. In 1999 he went to Vanderbilt University where he held an Ingram Professorship and served as founding Director of the Advanced Computing Center for Research and Education. He then went to the Geisel School of Medicine at Dartmouth College in 2004 where he held the Third Century Professorship and served as founding Director of the Institute for Quantitative Biomedical Sciences. In 2015, he joined Penn Medicine at the University of Pennsylvania as the founding Director of the Institute for Biomedical Informatics and Senior Associate Dean for Informatics. He joined Cedars-Sinai in 2021 as the founding Chair of the Department of Computational Biomedicine. His research on artificial intelligence methods for the analysis of biomedical data has been continuously funded the NIH for more than 20 years. He is an elected fellow of the American College of Medical Informatics, the International Academy of Health Sciences Informatics, the American Statistical Association, the International Statistics Institute, and the American Association for Advancement of Science. He is Editor-in-Chief of the open-access journal BioData Mining.

Thursday, January 19, 2023

12:00 – 1:00 PM HST

Zoom Details


Meeting ID: 921 2449 1501

Passcode: QHS646

Dec 202022

The MHRT program provides directed reading coursework and research projects in topics focused on global health, tropical medicine, infectious diseases and community-based participatory research for undergraduates (juniors and seniors), graduate students and Ola HAWAII junior faculty (see attached flyer).
For instructions on how to apply, please visit our website at

If you or your students have any questions about the program please visit our website at  or contact us at

The deadline to apply is Sunday, January 8, 2023.  

MHRT Program


Dec 082022

We are pleased to let you know that we are now accepting applications for the 11th Annual Workshop to Increase Diversity in Mathematical Modeling & Public Health! The workshop will be held March 27-28, 2023 in Boston, Massachusetts.

Students can submit an application anytime between now and the deadline of January 15, 2023 at 11:59 PM EST.

This Workshop is for undergraduates or students in a post baccalaureate program from underrepresented groups who have an interest in public health and/or mathematical modeling, and are studying quantitative disciplines and/or public health at their home institutions. See the workshop website for eligibility criteria.

Over 1.5 days, students will listen to scientific talks from public health researchers and trainees who use infectious disease epidemiology and mathematical modeling to solve problems in public health. They will also engage in professional development and networking opportunities, and participate in hands-on activities to practice the concepts and skills they are learning.

Students must apply and be accepted to the workshop to participate. Accepted students receive free admission to the workshop. Students can get travel scholarships that help pay for transportation to Boston, including the cost of their flights, train or bus fare. More details will be provided to accepted students.

Feel free to share this opportunity with interested eligible students.

Best Wishes,

Workshop Organizers

Center for Communicable Disease Dynamics at Harvard T.H. Chan School of Public Health & the MIDAS Coordination Center at the University of Pittsburgh

Nov 252022

Bioinformatics Data Science Workshops
Sponsored by the Bioinformatics Core
Department of Quantitative Health Sciences
JABSOM, University of Hawaii at Manoa

*All workshops include theory and hands-on practice

The Bioinformatics Data Science Workshops is a four-day virtual workshop from Tuesday, November 29 to Friday, December 2 from 9 am-12 pm HST. If you are interested in participating, please fill out this form. 

Please Register Here

World Time Buddy (WTB) is a convenient world clock and a time zone converter:

Workshop Day 1: R Programming for Data Science
Date/Time: 9:00 am – 12:00 pm, HST, Nov 29, 2022

          – Introduction and getting started with R

          – Programming with R

          – Simple exploratory analysis

          – Hands-on walkthrough training

Note: Please install R and RStudio on your computer before the workshop.

Workshop Day 2: Using secondary data

Date/Time: 9:00 am – 12:00 pm, HST, Nov 30, 2022   

         – Pros and cons of secondary datasets

         – Individual datasets

         – Learn tools to locate and download secondary data

         – Analyzing complex survey data

Workshop Day 3: Introduction to Python          

Date/Time: 9:00 am – 12:00 pm, HST, Dec 1, 2022           

        – Basic Python Syntax

        – Python Data Structures and Libraries

        – File I/O

        – Data Wrangling

Workshop Day 4: Introduction to Deep Learning

Date/Time: 9:00 am – 12:00 pm, HST, Dec 2, 2022

        – Theory

        – History

        – Basic Examples using R

        – Published Deep Learning Models using PyTorch

There are a limited number of spots available. ZOOM link will be provided after registration. For questions, please email:

Nov 142022

The Chan Zuckerberg Biohub Internship Applications have opened! 
There are intern postings in the following categories/groups:

  • Arias Group
  • Computational Microscopy
  • Data Science (ID)
  • Data Science (QCS)
  • Jacobo Group
  • Leonetti Group
  • Mass Spectrometry
  • Protein Sciences
  • Royer Group
  • Theory Group

How to Apply:

  1. Go to
  2. Click on the position you want to apply for.
  3. Click on the “Apply Now” button in the upper right corner.
  4. Fill out and submit the application! 

Oct 182022

Enabling Precision Medicine: Decoding the Human Genome with Deep Learning Models

Deputy Director for Genomics, Flatiron Institute Simons Foundation Professor of Computer Sciences & Lewis-Sigler Institute for Integrative Genomics, Princeton University

Speaker: Olga Troyanskaya, PhD

A key challenge in medicine and biology is to develop a complete understanding of the genomic architecture of disease. Yet the increasingly wide availability of ‘omics’ and clinical data, including whole genome sequencing, has far outpaced our ability to interpret these sequences.  Challenges include interpreting the 98% of the genome that is noncoding to identify variants that are functional and may lead to disease, detangling genomic signals regulating cell-lineage-specific gene expression, and mapping the resulting genetic circuits and networks in disease-relevant cell-types to specific phenotypes and clinical outcomes.  I will discuss methods that address these challenges, and highlight their applications to cancer and mental health disorders.

Date: Thursday, October 20, 2022 12:00-1:00 PM HST

Zoom Details


Meeting ID: 921 2449 1501 Passcode: QHS646

For more information contact Dr. Eunjung Lim Tel. 692-1817 or Email: