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== Professional Development Day ==
 
== Professional Development Day ==
 
*[https://drive.google.com/file/d/1VIgbj_5x4od6veneIigkf8PCFfJgcOh_/view?usp=sharing 2022 BDSI Professional Development Day Program]
 
*[https://drive.google.com/file/d/1VIgbj_5x4od6veneIigkf8PCFfJgcOh_/view?usp=sharing 2022 BDSI Professional Development Day Program]
*[https://docs.google.com/presentation/d/1U-i6Unnwsunej_Lbc4aMbranfXlzzKmp/edit?usp=sharing&ouid=112329502399458344806&rtpof=true&sd=true Biostatistics Admissions Panel]
+
*[https://drive.google.com/file/d/1_lkTbX2oMGhaunYV-TYSABYx36mrCTPw/view?usp=sharing Biostatistics Admissions Panel]
 
*[https://docs.google.com/presentation/d/1dijiZhdfoFsh8-UqMKRoLRZ78hY3BQ_i/edit?usp=sharing&ouid=112329502399458344806&rtpof=true&sd=true Dr. Bhramar Mukherjee's Journey Lecture]
 
*[https://docs.google.com/presentation/d/1dijiZhdfoFsh8-UqMKRoLRZ78hY3BQ_i/edit?usp=sharing&ouid=112329502399458344806&rtpof=true&sd=true Dr. Bhramar Mukherjee's Journey Lecture]

Revision as of 12:12, 29 July 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

Professional Development Day