8:00 - 9:00 Breakfast and registration (Main Lobby)

9:00 - 9:30 Opening Remarks (Salon A-C)

9:30 – 10:30 Keynote speech I: Using Genomics and Big Data to Manage Health Speaker: Michael Snyder Chair: Hua Tang Place : Salon A-C

10:30 – 11:00 Coffee Break

11:00 - 12:00 Keynote speech II: Increasing precision in translational metagenomics - the microbiome in medicine Speaker: Amit Bhatt Chair: Hua Tang Place : Salon A-C

12:00 – 13:30 Lunch on your own

13:30 – 15:10 Paper Session I

Chair: Peng Yang Place: Salon A-C

Invited Session 1 - Advances in modeling and data integration in the genomics field

Chair: George C.Tseng Place: Salon D

RareVar: A Framework for Detecting Low Frequency

Single Nucleotide Variants (Yangyang Hao )

Integrating GWAS and gene expression data (Wei Pan)

A joint Bayesian modeling for integrating microarray

and RNA-seq transcriptomic data (George Tseng)

An Imputation-Consistency Algorithm for High-Dimensional Missing Data Problems and Beyond

(Faming Liang)

Identifying cell subpopulations and their genetic drivers from single cell RNAseq data using a

biclustering approach (Funan Shi)

Bayesian latent hierarchical model for transcriptomic meta-analysis to detect biomarkers with clustered

meta-pattern differential expression signals (Chi Song)

Hybrid statistical and mechanistic mathematical model

guides mobile health intervention for chronic pain (Jingyi Jessica Li)

Use Next Generation Sequencing Data to Help Realize the Vision Personalized Healthcare

(David Zhang)

15:10 – 15:30 Coffee Break

15:30 – 17:00 Invited Session 2 - Data Science and Real World

Data for Drug Development Chair: Liang Fang; Qianghua Song

Place: Salon A-C

Invited Session 3 – Statistical Methods for Single Cell RNA-Sequencing Analysis

Chair: Jessica Jingyi Li Place: Salon D

Artificial Intelligence, Machine Learning, and

Precision Medicine (Haoda Fu)

Clustering and subpopulation analysis for single-cell RNA-sequencing data

(Haiyan Huang)

Application of real world data in pharmaco-

epidemiology and drug safety (Anaand Chokkalingam)

Mapping Cell States from Single-Cell Gene Expression Data

(Jiang Lan)

Machine learning methods to improve donor and

recipient matching in liver translation (Lihui Zhao)

Redefining differential expression with single cell RNA-seq (Hao Wu)

17:00 – 18:00 Poster

s Program (Monday, February 20th)

8:00 – 8:30 Breakfast & Registration (Main Lobby)

8:30 – 9:30 Keynote speech III Speaker: Steven Brenner Chair: Bin Chen Place : Salon A-C

9:30 – 10:00 Coffee Break

10:00 – 12:00 Invited Session 4: From Biology to Bedside: Machine

Learning Innovations In Medical Science Chair: Jing Huang Place: Salon A-C

Invited Session 5 - EMR Chair: Bin Chen Place: Salon D

Statistical approach to deep convolutional neural networks for medical imaging (Myunghee Cho Paik)

Discover and Deliver Insights from EHR Data for Clinical Decision Support (Xiao Hu)

Deep learning for prognosis of Ischemic Stroke: Experience and lessons (Joong-Ho Won)

Real time clinical decision support in the hospital: reflections on two Kaiser Permanente pilots

(Gabriel Escobar)

Large-scale gene network analysis and its application in biomarker discovery: an introduction to the Pigengene

package (Habil Zare)

Invited session 6: Innovative Adaptive Design in Proof-of-concept and Dose-finding Trials

Chair: Lei Zhou & Rui (Sammi) Tang Place: Salon D

(Zoran Antonijevic)

Bridging medical imaging into era of big data (Mehdi Moradi) (Nicole (Xiaoyun) Li)

Utility of Adaptive Designs FOR multisite Comparative Trials (Mi-OK Kim)

12:00 – 13:30 Lunch on your own

13:30 – 15:10 Paper Session II Chair: Sammi Tang Place: Salon A-C

Invited Session 7 - Privacy, ethical and legal issues in the age of genomic health

Chair: Hua Tang Place: Salon D

Studies on the clustering algorithm to high dimensional

genetic data with a bidirectional penalty (Hu Yang)

Ethics of Precision Health: What Do Patients Think? (Mildred Cho)

gCoda: conditional dependence network inference for compositional data (Fang, Huaying)

Irina Ridley

A Poisson Log-Normal Model for Constructing Gene Co-

variation Network Using RNA-seq Data (Yoonha Choi)

PROGRESS: PROtecting the privacy of Genomes in REsearch StudieS (Shuang Wang)

A Comparison of Two-stage Approaches based on Penalized

Regression for Estimating Gene Networks (Minhyeok Lee, Hua Zhong)

15:10 – 15:30: Coffee break

15:30 – 16:30 Keynote speech IV: Learning VA Healthcare System through Large-Scale Cooperative Studies Speaker: Mei-Chiung Shih Chair: Ying Lu Place: Salon A-C

16:30 – 18:00 Global Leadership Panel Discussion

Panelists: Jing-Shan Jennifer Hu, Leming Shi, Terry Speed, Giulia C. Kennedy Chair: Ruixiao Lu Place: Salon A-C

18:00 – 18:30 Poster

18:30 - 20:30 Banquet with dinner speech: Enable Precision Data for Precision Medicine (open to all registered attendees) Speaker: Jun Ye Chair: Jing Huang Place: Baden Room A

Program (Tuesday, February 21st) s

8:30 – 9:00 Breakfast & Registration (Main Lobby)

9:00 – 10:00 Keynote speech V: Computer intensive statistical assessment of data quality in clinical research

Speaker: Marc Buyse Chair: Ying Lu Place: Salon A-C

10:00 – 10:30 Coffee Break

10:30 - 12:00 Invited Session 8 - Digital Health: Challenges and

Opportunities Chair: Rui Song Place: Salon A-C

Invited Session 9 - Recent Advances In Neuroimaging And Imaging Genetics Analysis

Chair: Hua Tang Place: Salon D

The beginnings of an open ecosystem in mobile health (Briant Bot)

Genetic Markers of Resilience (Timotthy Hohman)

Mobile Health Apps Transforming Medical Research and Clinical Care: Using Apple’s new ResearchKit for Asthma

Mobile Health Study (Pei Wang)

Estimating fiber orientation distribution from diffusion MRI data

(Jie Peng)

From Bits ot Besides: Translating Big Data into Precision

Medicine and Computational Health (Dexter Hadley)

Sparse Low-Rank Tensor Response Regression (Lexin Li)

12:00 – 13:30 Lunch on your own

13:30 – 15:00

Invited Session 10: Recent Advances in Precision Medicine

Co-Chairs: Aarthi Balasubramanyam, Jing Shen Place: Salon A-C

Invited Session 11: Toward a Better Understanding of Transcriptomes: New Challenges and Methods

Chair: Rachel YX Wang Place: Salon D

Mind the Gap; Technology Considerations for Global

Precision Medicine (Scott Patterson)

Robust strategies for analysis of single cell mRNA-Seq data (Elizabeth Purdom)

Semi-nonparametric and machine learning methods for

personalized medicine (Rui Song)

Multiplexing droplet-based single cell RNA-seq using “genetic barcodes”

(Jimmie Ye)

Precision Medicine in an Imprecise HealthCare World

(Michael Hale)

Determination of phased genotypes and allele-specific expression at isoform level by hybrid sequencing

(Kin Fai Au)

15:00 – 15:30 Coffee break

15:30 – 16:30 Keynote speech VI: Discovering Dominators and Important Network Structure from Big Data

Speaker: Jiayang Sun Chair: Jing Huang Place : Salon A-C

16:30 – 17:30 Closing Remarks (Salon A-C)

Award & Prizes

Program (Wednesday, February 22nd) s