> Stephen Salerno
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Categories
All (24)
Average Controlled Difference (2)
Batch Effects (1)
Causal Inference (4)
Complex Surveys (2)
Data Science Education (5)
Data for Good (7)
Deep Learning (8)
Factor Models (1)
Graphical Models (1)
Imaging (1)
Inference with Predicted Data (3)
Machine Learning (4)
NHANES (2)
R (3)
STATCOM (2)
Semi-Competing Risks (9)
Survival Analysis (10)

Presentations

Select presentations are given below. A full listing is available on my CV.

Inference with Predicted Data

What do we do after we have machine learned (or AI’d?) everything?
Inference with Predicted Data
Machine Learning
R
Computation, AI, and Data Science Seminar Series, Wayne State University
Oct 2025
Stephen Salerno

What’s the Weight?

Estimating Controlled Outcome Differences in Complex Surveys for Health Disparities Research
Causal Inference
Complex Surveys
Average Controlled Difference
NHANES
2025 EcoSta
Aug 2025
Stephen Salerno, Emily K Roberts, Belinda L. Needham, Tyler H. McCormick, Fan Li, Bhramar Mukherjee, Xu Shi

Inference with Predicted Data

What do we do after we have machine learned everything?
Inference with Predicted Data
Machine Learning
R
2025 Galaxy and Bioconductor Community Conference
Jun 2025
Stephen Salerno, Jiacheng Miao, Awan Afiaz, Kentaro Hoffman, Jesse Gronsbell, Jianhui Gao, David Cheng, Anna Neufeld, Qiongshi Lu, Tyler H. McCormick, Jeffrey T. Leek

A Pseudo-Value Approach

to Causal Deep Learning of Semi-Competing Risks
Deep Learning
Semi-Competing Risks
Survival Analysis
Causal Inference
2025 Lifetime Data Science Conference
May 2025
Stephen Salerno, Yi Li

Valid Statistical Inference

on AI/ML Predicted Outcomes
Inference with Predicted Data
Machine Learning
R
AAAS 2025 Annual Meeting
Feb 2025
Stephen Salerno, Jiacheng Miao, Awan Afiaz, Kentaro Hoffman, Jesse Gronsbell, Jianhui Gao, David Cheng, Anna Neufeld, Qiongshi Lu, Tyler H. McCormick, Jeffrey T. Leek

A Pseudo-Value Approach

to Causal Deep Learning of Semi-Competing Risks
Deep Learning
Semi-Competing Risks
Survival Analysis
Causal Inference
2024 CFE-CMStatistics
Dec 2024
Stephen Salerno, Yi Li

What’s the Weight?

Estimating Controlled Outcome Differences in Complex Surveys for Health Disparities Research
Causal Inference
Complex Surveys
Average Controlled Difference
NHANES
2024 Joint Statistical Meetings
Aug 2024
Stephen Salerno, Emily K Roberts, Belinda L. Needham, Tyler H. McCormick, Bhramar Mukherjee, Xu Shi

A Brief Introduction to Survival Analysis

and (Semi-) Competing Risks
Survival Analysis
Semi-Competing Risks
Etzioni Lab Seminar
Sep 2023
Stephen Salerno

Deep Learning of Semi-Competing Risk Data

via a Neural Expectation-Maximization Algorithm (LiDS Student Paper Award)
Deep Learning
Semi-Competing Risks
Survival Analysis
2023 Joint Statistical Meetings
Aug 2023
Stephen Salerno, Yi Li

Deep Learning for Semi-Competing Risks and Statistics in the Community

Some Thoughts, Current Work, and Future Directions
Deep Learning
Semi-Competing Risks
Survival Analysis
Data for Good
2023 Fred Hutch Data Science Lab Seminar Series
Apr 2023
Stephen Salerno

Deep Learning of Semi-Competing Risk Data

via a Neural Expectation-Maximization Algorithm
Deep Learning
Semi-Competing Risks
Survival Analysis
The International Biometric Society Eastern North American Region 2023 Spring Meeting
Mar 2023
Stephen Salerno, Yi Li

Prospective Student Day

An Overview of My Research
Deep Learning
Semi-Competing Risks
Survival Analysis
2022 Biostatistics Prospective Student Day
Nov 2022
Stephen Salerno

Data Science Journey

Data for Good
Data Science Education
MIDAS Data Science Summer Camp
Jul 2022
Stephen Salerno

Data Science Journey

Data for Good
Data Science Education
2022 MIDAS Data Science Summer Camp
Jul 2022
Stephen Salerno

A New Deep Learning Approach

for Predicting Survival Processes in the Presence of Semi-Competing Risks
Deep Learning
Semi-Competing Risks
Survival Analysis
2022 Department of Population Health Sciences Seminar, Icahn School of Medicine, Mount Sinai
Jun 2022
Stephen Salerno, Yi Li

Use of Machine Learning and Michigan EHR Data

to assess the prognostic utility of radiomic features in predicting the survival of hospitalized patient with COVID-19
Survival Analysis
Machine Learning
Imaging
2022 Michigan Biostatistics Collaborative Lunches
Apr 2022
Stephen Salerno, Yuming Sun

A New Deep Learning Approach

for Predicting Survival Processes in the Presence of Semi-Competing Risks
Deep Learning
Semi-Competing Risks
Survival Analysis
2022 International Biometric Society Eastern North American Region Spring Meeting
Mar 2022
Stephen Salerno, Yi Li

Introduction to R and RStudio

Data Science Education
NeuroNetwork for Emerging Therapies (NeuroNet) at Michigan Medicine
Mar 2022
Stephen Salerno

Data Science for Good

Data for Good
Data Science Education
2021 NxtGen Summer Academy
Jul 2021
Stephen Salerno, Ani Madurkar, Katie Nicholson, Gauri Kambhatla

How to Create Data Visualizations Using Best Practices

Data for Good
Data Science Education
Data for Public Good Symposium
Feb 2021
Stephen Salerno

Data for Good in Your Neighborhood

How Graduate Students and Local Communities Benefit from Collaborative Partnerships
Data for Good
STATCOM
2020 Joint Statistical Meetings
Aug 2020
Stephen Salerno

Statistics in the Community

Community University Partnerships Fostering Data Science Education
Data for Good
STATCOM
2020 Symposium on Data Science and Statistics
Jun 2020
Stephen Salerno

Selection and Estimation

of Conditional Graphical Models
Graphical Models
2020 International Biometric Society Eastern North American Region Spring Meeting
Mar 2020
Stephen Salerno, Yi Li

A Method for Simultaneous Batch Effect Correction and Analysis of Metabolomics Data

in the Absence of Internal Standards
Batch Effects
Factor Models
Memorial Sloan Kettering Cancer Center
Mar 2018
Stephen Salerno
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