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AM

Alex Mawla

University of California Davis Huising Lab
Integrative Genetics & Genomics Graduate Student
Davis, CA

My research interests include understanding the basic biology and elucidating genetic drivers behind diseases such as diabetes through the integration of different -nomics, machine learning, and computational biology.

Background in: computational biology, machine learning, integrative genetics, translational research

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Genome-wide association analysis and post-analytic interrogation with R (Part 1) Wallenberg Hall 124 Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 1) Econ 140

10:15am PDT

Coffee Break McDowell & Cranston

10:30am PDT

Machine Learning Algorithmic Deep Dive (Part 2) Campbell Rehearsal Hall

1:00pm PDT

Regression Modeling Strategies and the rms package (Part 1) Lyons & Lodato

2:30pm PDT

Missing Value Imputation with R (Part 2) Barnes Regression Modeling Strategies and the rms package (Part 2) Lyons & Lodato

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

bamdit: An R Package for Bayesian meta-analysis of diagnostic test data Barnes & McDowell & Cranston edeaR: Extracting knowledge from process data Econ 140

10:48am PDT

Two-sample testing in high dimensions Lane & Lyons & Lodato

11:06am PDT

Bayesian analysis of generalized linear mixed models with JAGS Barnes & McDowell & Cranston

11:24am PDT

Fry: A Fast Interactive Biological Pathway Miner Lane & Lyons & Lodato

11:42am PDT

Analysis of big biological sequence datasets using the DECIPHER package Lane & Lyons & Lodato bayesboot: An R package for easy Bayesian bootstrapping Barnes & McDowell & Cranston

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:36pm PDT

bigKRLS: Optimizing non-parametric regression in R Barnes & McDowell & Cranston

2:12pm PDT

Detection of Differential Item Functioning with difNLR function Barnes & McDowell & Cranston

2:30pm PDT

Applied Biclustering Using the BiclustGUI R Package Sponsor Pavilion DiLeMMa - Distributed Learning with Markov Chain Monte Carlo Algorithms with the ROAR Package Sponsor Pavilion Prediction of key parameters in the production of biopharmaceuticals using R Sponsor Pavilion