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====Spatial Epidemiology - Dr. Jon Zelner====
 
====Spatial Epidemiology - Dr. Jon Zelner====
 
*[https://jzelner.github.io/document-garden/talks/no_equal_opportunity_infectors_bdsi.html Spatial Epidemiology Slides]
 
*[https://jzelner.github.io/document-garden/talks/no_equal_opportunity_infectors_bdsi.html Spatial Epidemiology Slides]
*No recording available
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*[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=2bcbbfdc-5e98-4b03-aaf2-aecf00f3b4b7 Recording]
  
 
====Intro to Bayes - Dr. William Wen====
 
====Intro to Bayes - Dr. William Wen====
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====CVs and Resumes Workshop - Krystle Forbes====
 
====CVs and Resumes Workshop - Krystle Forbes====
 
*[https://drive.google.com/file/d/1tQLRfpXLx1Td7AgoQTLTpaFX1Nfp_wkY/view?usp=sharing Stand Out Resume Slides]
 
*[https://drive.google.com/file/d/1tQLRfpXLx1Td7AgoQTLTpaFX1Nfp_wkY/view?usp=sharing Stand Out Resume Slides]
*[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=ece07b42-843a-434e-82dd-aede00f440ea Recording]
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*No recording available
  
 
== Research Symposium ==
 
== Research Symposium ==

Latest revision as of 17:15, 4 August 2022

Contents

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

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

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

Correlated Data Review - Irena Chen

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

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

Intro to Bayes - Dr. William Wen

Stroke Disparities - Dr. Lynda Lisabeth

Personalized Medicine - Dr. Lars Fritsche

Missing Data - Dr. Peisong Han

Bioinformatics and Epidemiology Career Roundtable - Dr. Maureen Sartor

Human Centered Computing - Dr. Nikola Banovic

Journey Lecture - Dr. Michael Boehnke

Week 5

Deep Learning - Dr. Jian Kang

Optimization - Dr. Jian Kang

Natural Language Processing - Dr. Karandeep Singh

Radiation Oncology - Dr. Arvind Rao

Clinical Trials - Dr. Kelley Kidwell

Electronic Health Records - Dr. Sachin Kheterpal

Precision Health for Diverse Populations - Dr. Jennifer Smith

Better, Not Just Bigger, Data Analytics - Dr. Brahmajee Nallamothu

Machine Learning in Policy - Dr. Rahul Ladhania

Journey Lecture - Dr. Snigdha Panigrahi

Week 6

Preparing for Graduate School - Dr. Kelley Kidwell

Bayesian Precision Health - Dr. Veera Baladandayuthapani

Microaggressions Workshop - Dr. Yatesha Robinson

CVs and Resumes Workshop - Krystle Forbes

Research Symposium

Research Group Presentations

Research Group Posters

Genomics

Data Mining

Infectious Disease

Machine Learning

Professional Development Day