Main Page
Contents
- 1 2022 Lectures
- 1.1 Week 1
- 1.1.1 Responsible Conduct for Research in Science (RCRS) - Dr. Bhramar Mukherjee
- 1.1.2 Cluster Computing - Dan Barker
- 1.1.3 Study Design and Inference - Dr. Rod Little
- 1.1.4 Parameter Estimation and Likelihood - Dr. Rodrick Little
- 1.1.5 Probability Review - Soumik Purkayastha
- 1.1.6 Observational Data and Bias - Dr. Rod Little
- 1.1.7 Causal Inference - Dr. Walter Dempsey
- 1.1.8 Linear Regression Review - Soumik Purkayastha
- 1.1.9 Data Wrangling in R - Mike Kleinsasser
- 1.1.10 Linear Algebra Review - Rupam Bhattacharyya
- 1.1.11 Visualizing Data in R with ggplot2 - Dr. Erin Hodgess
- 1.1.12 Journey Lecture - Dr. Jeremy Taylor
- 1.2 Week 2
- 1.2.1 Python Parts I & II - Dr. Fred Feng
- 1.2.2 Generalized Linear Models Review - Jon Boss
- 1.2.3 Python Parts III & IV - Dr. Fred Feng
- 1.2.4 Logistic Regression Review - Elizabeth Chase
- 1.2.5 Machine Learning - Dr. Maggie Makar
- 1.2.6 R Markdown - Dr. Phil Boonstra
- 1.2.7 Prediction Analysis - Dr. Phil Boonstra
- 1.2.8 Correlated Data Review - Irena Chen
- 1.2.9 Unsupervised Learning and Clustering - Dr. Somayeh Molaei
- 1.2.10 Journey Lecture - Dr. Jean Morrison
- 1.3 Week 3
- 1.3.1 Data Mining - Dr. Somayeh Molaei
- 1.3.2 Scientific Writing - Dr. Brett Griffiths
- 1.3.3 Pick Me! - Dr. Brett Griffiths
- 1.3.4 Model Selection - Yichen Si
- 1.3.5 Data Visualization Workshop - Diamond Buchanan
- 1.3.6 Health Data Science Concentration Presentation - Dr. Hui Jiang
- 1.3.7 Journey Lecture - Pedro Orozco del Pino
- 1.4 Week 4
- 1.4.1 Genetics and Genomics - Dr. Jean Morrison
- 1.4.2 Spatial Epidemiology - Dr. Jon Zelner
- 1.4.3 Intro to Bayes - Dr. William Wen
- 1.4.4 Stroke Disparities - Dr. Lynda Lisabeth
- 1.4.5 Personalized Medicine - Dr. Lars Fritsche
- 1.4.6 Missing Data - Dr. Peisong Han
- 1.4.7 Bioinformatics and Epidemiology Career Roundtable - Dr. Maureen Sartor
- 1.4.8 Human Centered Computing - Dr. Nikola Banovic
- 1.4.9 Journey Lecture - Dr. Michael Boehnke
- 1.5 Week 5
- 1.5.1 Deep Learning - Dr. Jian Kang
- 1.5.2 Optimization - Dr. Jian Kang
- 1.5.3 Natural Language Processing - Dr. Karandeep Singh
- 1.5.4 Radiation Oncology - Dr. Arvind Rao
- 1.5.5 Clinical Trials - Dr. Kelley Kidwell
- 1.5.6 Electronic Health Records - Dr. Sachin Kheterpal
- 1.5.7 Precision Health for Diverse Populations - Dr. Jennifer Smith
- 1.5.8 Better, Not Just Bigger, Data Analytics - Dr. Brahmajee Nallamothu
- 1.5.9 Machine Learning in Policy - Dr. Rahul Ladhania
- 1.5.10 Journey Lecture - Dr. Snigdha Panigrahi
- 1.6 Week 6
- 1.1 Week 1
- 2 Research Symposium
- 3 Professional Development Day
2022 Lectures
Week 1
Responsible Conduct for Research in Science (RCRS) - Dr. Bhramar Mukherjee
Cluster Computing - Dan Barker
Study Design and Inference - Dr. Rod Little
Parameter Estimation and Likelihood - Dr. Rodrick Little
- Rod Little Slides Part III
- No recording available
Probability Review - Soumik Purkayastha
Observational Data and Bias - Dr. Rod Little
Causal Inference - Dr. Walter Dempsey
Linear Regression Review - Soumik Purkayastha
Data Wrangling in R - Mike Kleinsasser
- dplyr Slides
- No recording available
Linear Algebra Review - Rupam Bhattacharyya
Visualizing Data in R with ggplot2 - Dr. Erin Hodgess
Journey Lecture - Dr. Jeremy Taylor
Week 2
Python Parts I & II - Dr. Fred Feng
Generalized Linear Models Review - Jon Boss
Python Parts III & IV - Dr. Fred Feng
Logistic Regression Review - Elizabeth Chase
Machine Learning - Dr. Maggie Makar
R Markdown - Dr. Phil Boonstra
Prediction Analysis - Dr. Phil Boonstra
Unsupervised Learning and Clustering - Dr. Somayeh Molaei
Journey Lecture - Dr. Jean Morrison
Week 3
Data Mining - Dr. Somayeh Molaei
Scientific Writing - Dr. Brett Griffiths
Pick Me! - Dr. Brett Griffiths
Model Selection - Yichen Si
- Model Selection Slides
- No recording available
Data Visualization Workshop - Diamond Buchanan
Health Data Science Concentration Presentation - Dr. Hui Jiang
Journey Lecture - Pedro Orozco del Pino
Week 4
Genetics and Genomics - Dr. Jean Morrison
Spatial Epidemiology - Dr. Jon Zelner
- Spatial Epidemiology Slides
- No recording available
Intro to Bayes - Dr. William Wen
Stroke Disparities - Dr. Lynda Lisabeth
- Stroke Disparities Slides
- No recording available
Personalized Medicine - Dr. Lars Fritsche
- Personalized Medicine Slides
- No recording available
Missing Data - Dr. Peisong Han
Bioinformatics and Epidemiology Career Roundtable - Dr. Maureen Sartor
Human Centered Computing - Dr. Nikola Banovic
- Human Centered Computing Slides
- No recording available
Journey Lecture - Dr. Michael Boehnke
Week 5
Deep Learning - Dr. Jian Kang
- Deep Learning Slides
- No recording available
Optimization - Dr. Jian Kang
- Optimization Slides
- No recording available
Natural Language Processing - Dr. Karandeep Singh
- Natural Language Processing Slides
- No recording available
Radiation Oncology - Dr. Arvind Rao
- Radiation Oncology Slides
- No recording available
Clinical Trials - Dr. Kelley Kidwell
Electronic Health Records - Dr. Sachin Kheterpal
Precision Health for Diverse Populations - Dr. Jennifer Smith
- PH in Diverse Populations Slides
- No recording available
Better, Not Just Bigger, Data Analytics - Dr. Brahmajee Nallamothu
- Better, Not Just Bigger, Data Analytics Slides
- No recording available
Machine Learning in Policy - Dr. Rahul Ladhania
Journey Lecture - Dr. Snigdha Panigrahi
- Journey Lecture Slides
- No recording available
Week 6
Preparing for Graduate School - Dr. Kelley Kidwell
Bayesian Precision Health - Dr. Veera Baladandayuthapani
- Bayesian Precision Health Slides
- No recording available
Microaggressions Workshop - Dr. Yatesha Robinson
- Microaggressions Workshop Slides
- No recording available
CVs and Resumes Workshop - Krystle Forbes
Research Symposium
Research Group Presentations
- Data Mining Presentation
- Genomics Presentation
- Infectious Disease Presentation
- Machine Learning Presentation
Research Group Posters
- Associations Between Disease Variants and Differential Methylation Among Ancestry Group
- Using TensorBoard to Visualize Tumor Segmentation Data
- Compartmental Modeling of SARS-CoV-2 in Brazil
- Investigations of Influenza Vaccine Uptake Towards the Beginning of the COVID-19 Pandemic
