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===Week 1 === | ===Week 1 === | ||
+ | *[[Media:2022_BDSI_Draft_Orientation_Schedule.pdf|2022 BDSI Orientation Schedule]] | ||
====Responsible Conduct for Research in Science (RCRS) - Dr. Bhramar Mukherjee==== | ====Responsible Conduct for Research in Science (RCRS) - Dr. Bhramar Mukherjee==== | ||
− | *[ | + | *[https://drive.google.com/file/d/1uJxn0iUaAA_qRfn2CB5tPt7NpLPZi9SK/view?usp=sharing RCRS Slides] |
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*[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=6627a5d1-b57c-4338-a11a-aeba012b3492 Recording] | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=6627a5d1-b57c-4338-a11a-aeba012b3492 Recording] | ||
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====Python Parts I & II - Dr. Fred Feng==== | ====Python Parts I & II - Dr. Fred Feng==== | ||
+ | *[http://umich.edu/~fredfeng/bdsi Python (All Parts) Slides] | ||
*[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=f3164ddb-0da1-4312-9ec9-aec100d71dc2 Recording Part I] | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=f3164ddb-0da1-4312-9ec9-aec100d71dc2 Recording Part I] | ||
*[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=667bef44-8771-429a-a537-aec100ef1217 Recording Part II] | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=667bef44-8771-429a-a537-aec100ef1217 Recording Part II] | ||
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====Scientific Writing - Dr. Brett Griffiths==== | ====Scientific Writing - Dr. Brett Griffiths==== | ||
*[https://docs.google.com/presentation/d/1ch6rskrvGveqOE4YyFqgM5W5WNL2LreOpKc2H0BS7JA/edit?usp=sharing Scientific Writing Slides] | *[https://docs.google.com/presentation/d/1ch6rskrvGveqOE4YyFqgM5W5WNL2LreOpKc2H0BS7JA/edit?usp=sharing Scientific Writing Slides] | ||
− | * | + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=ae9b280f-8fc7-4f2f-95f2-aeca00d8a2ff&start=0 Recording] |
====Pick Me! - Dr. Brett Griffiths==== | ====Pick Me! - Dr. Brett Griffiths==== | ||
*[[Media:Pick_Me-BDSI-Writing_Statements.pdf|Pick Me Slides]] | *[[Media:Pick_Me-BDSI-Writing_Statements.pdf|Pick Me Slides]] | ||
− | * | + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=e5820878-4cee-481c-ac29-aeca00f4f50d&start=0 Recording] |
====Model Selection - Yichen Si==== | ====Model Selection - Yichen Si==== | ||
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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==== | ||
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====Bioinformatics and Epidemiology Career Roundtable - Dr. Maureen Sartor==== | ====Bioinformatics and Epidemiology Career Roundtable - Dr. Maureen Sartor==== | ||
*[https://drive.google.com/file/d/1dssLq_Iegb4Lwl8VV_Nf17nNd0PJYb_8/view?usp=sharing Roundtable Slides] | *[https://drive.google.com/file/d/1dssLq_Iegb4Lwl8VV_Nf17nNd0PJYb_8/view?usp=sharing Roundtable Slides] | ||
− | * | + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=28c4bdbc-4247-4b4d-a3db-aed300d89455&start=0 Recording] |
====Human Centered Computing - Dr. Nikola Banovic==== | ====Human Centered Computing - Dr. Nikola Banovic==== | ||
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====Bayesian Precision Health - Dr. Veera Baladandayuthapani==== | ====Bayesian Precision Health - Dr. Veera Baladandayuthapani==== | ||
*[https://docs.google.com/presentation/d/1HChD4zOVAYKEIWokWfFKMtwVcKn5Bh4b/edit?usp=sharing&ouid=112329502399458344806&rtpof=true&sd=true Bayesian Precision Health Slides] | *[https://docs.google.com/presentation/d/1HChD4zOVAYKEIWokWfFKMtwVcKn5Bh4b/edit?usp=sharing&ouid=112329502399458344806&rtpof=true&sd=true Bayesian Precision Health Slides] | ||
+ | *No recording available | ||
====Microaggressions Workshop - Dr. Yatesha Robinson==== | ====Microaggressions Workshop - Dr. Yatesha Robinson==== | ||
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== Research Symposium == | == Research Symposium == | ||
+ | *[[Media:2022_BDSI_Symposium_Flyer.pdf|2022 BDSI Symposium Flyer]] | ||
+ | *[https://drive.google.com/file/d/1H8fDzDq3sg81QFg_1gbNRif4ABwroq5c/view?usp=sharing 2022 BDSI Symposium Program] | ||
+ | |||
+ | ====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/11PQBBgHynrUVU6t4lRmmIRRNkQ8CjMoK/view?usp=sharing Infectious Disease Presentation] | ||
+ | *[https://drive.google.com/file/d/1telTxDSWXeUcNHnLmxIec8hH8NVzUcI-/view?usp=sharing Machine Learning Presentation] | ||
+ | |||
+ | *[https://umich.zoom.us/rec/share/sjJ7kYQCiSaAFvb8ML6ScbuEn4M5wLkhrNghxvsTFlQmyXWgrZq57ziv0lZp_nNM.tNYofrguteA_OTrK Presentation Recording] | ||
+ | |||
+ | ====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/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/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/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 == | ||
+ | *[https://drive.google.com/file/d/1VIgbj_5x4od6veneIigkf8PCFfJgcOh_/view?usp=sharing 2022 BDSI Professional Development Day Program] | ||
+ | *[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] |
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