Difference between revisions of "Main Page"
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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] | ||
| − | * | + | *[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==== | ||
| Line 226: | Line 226: | ||
====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] | ||
| − | * | + | *No recording available |
== Research Symposium == | == Research Symposium == | ||
| Line 233: | Line 233: | ||
====Research Group Presentations==== | ====Research Group Presentations==== | ||
| + | *[https://drive.google.com/file/d/1q8-oOSf5RC6IVlrw8hmoA6sqEOVhwt26/view?usp=sharing Genomics Presentation] | ||
*[https://drive.google.com/file/d/1WFnnfnZf1SE6jhusPSZXjwI3Y9oQhKZP/view?usp=sharing Data Mining Presentation] | *[https://drive.google.com/file/d/1WFnnfnZf1SE6jhusPSZXjwI3Y9oQhKZP/view?usp=sharing Data Mining Presentation] | ||
| − | |||
*[https://drive.google.com/file/d/11PQBBgHynrUVU6t4lRmmIRRNkQ8CjMoK/view?usp=sharing Infectious Disease Presentation] | *[https://drive.google.com/file/d/11PQBBgHynrUVU6t4lRmmIRRNkQ8CjMoK/view?usp=sharing Infectious Disease Presentation] | ||
*[https://drive.google.com/file/d/1telTxDSWXeUcNHnLmxIec8hH8NVzUcI-/view?usp=sharing Machine Learning Presentation] | *[https://drive.google.com/file/d/1telTxDSWXeUcNHnLmxIec8hH8NVzUcI-/view?usp=sharing Machine Learning Presentation] | ||
| Line 241: | Line 241: | ||
====Research Group Posters==== | ====Research Group Posters==== | ||
| + | Genomics | ||
*[https://drive.google.com/file/d/1mcl9VfMBUdoBTatWmzJm7JzvCE17e2dq/view?usp=sharing Associations Between Disease Variants and Differential Methylation Among Ancestry Group] | *[https://drive.google.com/file/d/1mcl9VfMBUdoBTatWmzJm7JzvCE17e2dq/view?usp=sharing Associations Between Disease Variants and Differential Methylation Among Ancestry Group] | ||
| − | *[https://drive.google.com/file/d/ | + | *[https://drive.google.com/file/d/1QtE-SaPzOfnJfCbnlvBxEgtlX0K4IMPa/view?usp=sharing Applications of Spatially Resolved Transcriptomics to the Mouse Hippocampus] |
| − | + | Data Mining | |
*[https://drive.google.com/file/d/1grKhUnJyeXr9F06yN-iIZDCJ_0LHoaiZ/view?usp=sharing Investigations of Influenza Vaccine Uptake Towards the Beginning of the COVID-19 Pandemic] | *[https://drive.google.com/file/d/1grKhUnJyeXr9F06yN-iIZDCJ_0LHoaiZ/view?usp=sharing Investigations of Influenza Vaccine Uptake Towards the Beginning of the COVID-19 Pandemic] | ||
*[https://drive.google.com/file/d/16_FhlUsHMOxJNY0t-MvfIqjA5RNBFk08/view?usp=sharing Changing Sexually Transmitted Infection Rates and Case Deficits] | *[https://drive.google.com/file/d/16_FhlUsHMOxJNY0t-MvfIqjA5RNBFk08/view?usp=sharing Changing Sexually Transmitted Infection Rates and Case Deficits] | ||
| + | Infectious Disease | ||
| + | *[https://drive.google.com/file/d/1zkTiQZraC0dLfuiVMc5VTJL_19uWqokg/view?usp=sharing Compartmental Modeling of SARS-CoV-2 in Brazil] | ||
*[https://drive.google.com/file/d/1FdvPrnKVGNVhym7DR5znr5jmxlOY3Lpp/view?usp=sharing Modeling SARS-CoV-2 in Mexico] | *[https://drive.google.com/file/d/1FdvPrnKVGNVhym7DR5znr5jmxlOY3Lpp/view?usp=sharing Modeling SARS-CoV-2 in Mexico] | ||
| + | *[https://drive.google.com/file/d/1o14aNwjjFlyDq1sSMi9Sdd2m87rC6Vxb/view?usp=sharing Modeling SARS-CoV-2 Data in Israel] | ||
| + | Machine Learning | ||
| + | *[https://drive.google.com/file/d/1sGSW-cXhn9zfNmoqsHXWeLAKamIewEmS/view?usp=sharing Using TensorBoard to Visualize Tumor Segmentation Data] | ||
| + | *[https://drive.google.com/file/d/1u7p80p9wioKv7w-vi5NZZV1hiKUVRtvd/view?usp=sharing Local Interpretable Model-Agnostic Explanations for Medical Image Segmentation] | ||
| + | *[https://drive.google.com/file/d/1NF5KD1tu9xs2Io8QrByfwDX1LwQhB7Va/view?usp=sharing Quantifying Uncertainty in a Tumor Segmentation Model] | ||
== Professional Development Day == | == Professional Development Day == | ||
Latest revision as of 16:15, 4 August 2022
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
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
- Stand Out Resume Slides
- No recording available
Research Symposium
Research Group Presentations
- Genomics Presentation
- Data Mining Presentation
- Infectious Disease Presentation
- Machine Learning Presentation
Research Group Posters
Genomics
- Associations Between Disease Variants and Differential Methylation Among Ancestry Group
- Applications of Spatially Resolved Transcriptomics to the Mouse Hippocampus
Data Mining
- Investigations of Influenza Vaccine Uptake Towards the Beginning of the COVID-19 Pandemic
- Changing Sexually Transmitted Infection Rates and Case Deficits
Infectious Disease
- Compartmental Modeling of SARS-CoV-2 in Brazil
- Modeling SARS-CoV-2 in Mexico
- Modeling SARS-CoV-2 Data in Israel
Machine Learning
- Using TensorBoard to Visualize Tumor Segmentation Data
- Local Interpretable Model-Agnostic Explanations for Medical Image Segmentation
- Quantifying Uncertainty in a Tumor Segmentation Model
