Work with Edoardo Airoldi | NotedSource
Edoardo Airoldi is a Professor in the Department of
Machine Learning at Temple University. He is also the
Director of the Center for Machine Learning and Health. He
is a world-renowned expert in the fields of machine
learning and artificial intelligence, with a focus on
applications to health. Airoldi is a member of the
prestigious Association for the Advancement of Artificial
Intelligence (AAAI) and the International Machine Learning
Society (IMLS). He has published over 200 papers in
leading journals and conferences, and his work has been
covered by various media outlets including The New York
Times, The Wall Street Journal, The Economist, and Wired.
https://cv.notedsource.io/me/eairoldi
Edoardo Airoldi
Professor of Statistics & Data Science Temple University & PI, Harvard University
Research Expertise
Statistics
Causal Inference
Network Science
Cell Biology
Molecular Biology
Pulmonary and Respiratory Medicine
Pediatrics, Perinatology and Child Health
Biochemistry
Biotechnology
Artificial Intelligence
Human-Computer Interaction
Software
Statistics, Probability and Uncertainty
Statistics and Probability
Applied Mathematics
Cancer Research
Genetics (clinical)
Genetics
Ecology, Evolution, Behavior and Systematics
Computational Mathematics
Computational Theory and Mathematics
Computer Science Applications
Cellular and Molecular Neuroscience
Ecology
Modeling and Simulation
Library and Information Sciences
Information Systems and Management
Computer Networks and Communications
Information Systems
Management Information Systems
Developmental and Educational Psychology
Epidemiology
Theoretical Computer Science
Sociology and Political Science
Analysis
Behavioral Neuroscience
Experimental and Cognitive Psychology
Social Psychology
Analytical Chemistry
Health Informatics
Pharmacology (medical)
Control and Systems Engineering
Electrical and Electronic Engineering
Signal Processing
About
Edoardo Airoldi is a Professor in the
Department of Machine Learning at Temple
University. He is also the Director of the
Center for Machine Learning and Health. He is
a world-renowned expert in the fields of
machine learning and artificial intelligence,
with a focus on applications to health.
Airoldi is a member of the prestigious
Association for the Advancement of Artificial
Intelligence (AAAI) and the International
Machine Learning Society (IMLS). He has
published over 200 papers in leading journals
and conferences, and his work has been covered
by various media outlets including The New
York Times, The Wall Street Journal, The
Economist, and Wired.
Legacy Map
Full ViewPublications
Coming soon to a journal near you—The
updated guidelines for the use and
interpretation of assays for monitoring
autophagy
Autophagy
2014
IGraph/M: graph theory and network
analysis for Mathematica
Journal of Open Source Software
2023
Handbook of Mixed Membership Models and
Their Applications
Unknown Venue
2014
Navigating the Local Modes of Big Data:
The Case of Topic Models
Computational Social Science
2016
Analysis and design of RNA sequencing
experiments for identifying isoform
regulation
Nature Methods
2010
A Survey of Statistical Network Models
Foundations and Trends® in Machine
Learning
2009
Coordination of Growth Rate, Cell Cycle,
Stress Response, and Metabolic Activity in
Yeast
Molecular Biology of the Cell
2008
A Model of Text for Experimentation in the
Social Sciences
Journal of the American Statistical
Association
2016
Reversible, Specific, Active Aggregates of
Endogenous Proteins Assemble upon Heat
Stress
Cell
2015
Stochastic blockmodels with a growing
number of classes
Biometrika
2012
Co-EM support vector learning
Twenty-first international conference
on Machine learning - ICML '04
2004
Differential Stoichiometry among Core
Ribosomal Proteins
Cell Reports
2015
Quantitative visualization of alternative
exon expression from RNA-seq data
Bioinformatics
2015
Defining the Essential Function of Yeast
Hsf1 Reveals a Compact Transcriptional
Program for Maintaining Eukaryotic
Proteostasis
Molecular Cell
2016
Post-transcriptional regulation across
human tissues
PLOS Computational Biology
2017
Bolasso
Proceedings of the 25th international
conference on Machine learning - ICML
'08
2008
Identification and Estimation of Treatment
and Interference Effects in Observational
Studies on Networks
Journal of the American Statistical
Association
2020
Asymptotic and finite-sample properties of
estimators based on stochastic gradients
The Annals of Statistics
2017
Improving and Evaluating Topic Models and
Other Models of Text
Journal of the American Statistical
Association
2016
Unified Inference for Variational Bayesian
Linear Gaussian State-Space Models
Advances in Neural Information
Processing Systems 19
2007
Assessing the Impact of Granular Privacy
Controls on Content Sharing and Disclosure
on Facebook
Information Systems Research
2016
Musashi proteins are post-transcriptional
regulators of the epithelial-luminal cell
state
eLife
2014
Detecting Network Effects
Proceedings of the 23rd ACM SIGKDD
International Conference on Knowledge
Discovery and Data Mining
2017
Solving large scale linear prediction
problems using stochastic gradient descent
algorithms
Twenty-first international conference
on Machine learning - ICML '04
2004
Model-assisted design of experiments in
the presence of network-correlated
outcomes
Biometrika
2018
Dendrite morphological neurons trained by
stochastic gradient descent
2016 IEEE Symposium Series on
Computational Intelligence (SSCI)
2016
Multiscale Local Polynomial Models for
Estimation and Testing
Springer Proceedings in Mathematics
& Statistics
2014
Credit-based network management by
weighted fuzzy C-means
International Conference on Automatic
Control and Artificial Intelligence
(ACAI 2012)
2012
Stratification and weighting via the
propensity score in estimation of causal
treatment effects: a comparative study
Statistics in Medicine
2017
A conserved cell growth cycle can account
for the environmental stress responses of
divergent eukaryotes
Molecular Biology of the Cell
2012
Reconceptualizing the classification of
PNAS articles
Proceedings of the National Academy of
Sciences
2010
Exploiting social influence to magnify
population-level behaviour change in
maternal and child health: study protocol
for a randomised controlled trial of
network targeting algorithms in rural
Honduras
BMJ Open
2017
Estimating Selection on Synonymous Codon
Usage from Noisy Experimental Data
Molecular Biology and Evolution
2013
Proceedings of the 2004 ACM workshop on
Visualization and data mining for computer
security
Unknown Venue
2004
Steady-state and dynamic gene expression
programs inSaccharomyces cerevisiaein response to variation in environmental
nitrogen
Molecular Biology of the Cell
2016
On Learning Parsimonious Models for
Extracting Consumer Opinions
Proceedings of the 38th Annual Hawaii
International Conference on System
Sciences
Integrating Compound Terms in Bayesian
Text Classification
The 2005 IEEE/WIC/ACM International
Conference on Web Intelligence
(WI'05)
The Structure of Negative Social Ties in
Rural Village Networks
Sociological Science
2019
Tree preserving embedding
Proceedings of the National Academy of
Sciences
2011
Mapping Dynamic Histone Acetylation
Patterns to Gene Expression in
Nanog-Depleted Murine Embryonic Stem Cells
PLoS Computational Biology
2010
A Common Electronic Health Record for
Norwegian Municipalities
MEDINFO 2021: One World, One Health –
Global Partnership for Digital
Innovation
2022
The proximal Robbins–Monro method
Journal of the Royal Statistical
Society: Series B (Statistical
Methodology)
2020
Testing for arbitrary interference on
experimentation platforms
Biometrika
2019
Cyclic motifs in the Sardex monetary
network
Nature Human Behaviour
2018
Causal Inference for Statistics, Social,
and Biomedical Sciences
Unknown Venue
2015
A Coevolution Model of Network Structure
and User Behavior: The Case of Content
Generation in Online Social Networks
Information Systems Research
2019
Nonstandard conditionally specified models
for nonignorable missing data
Proceedings of the National Academy of
Sciences
2020
Quantifying Homologous Proteins and
Proteoforms
Molecular & Cellular
Proteomics
2019
Configurable Security Protocols for
Multi-party Data Analysis with Malicious
Participants
21st International Conference on Data
Engineering (ICDE'05)
A computational approach to map nucleosome
positions and alternative chromatin states
with base pair resolution
eLife
2016
Influence Estimation on Social Media
Networks Using Causal Inference
2018 IEEE Statistical Signal Processing
Workshop (SSP)
2018
Geometric Representations of Random
Hypergraphs
Journal of the American Statistical
Association
2017
Estimating Causal Effects on Social
Networks
2018 IEEE 5th International Conference
on Data Science and Advanced Analytics
(DSAA)
2018
Causal Inference with Bipartite Designs
SSRN Electronic Journal
2020
Optimizing Cluster-based Randomized
Experiments under Monotonicity
Proceedings of the 24th ACM SIGKDD
International Conference on Knowledge
Discovery & Data Mining
2018
SLANTS: Sequential Adaptive Nonlinear
Modeling of Time Series
IEEE Transactions on Signal
Processing
2017
Analyzing Time-Evolving Networks
Handbook of Mixed Membership Models and
Their Applications
2014
Hybrid Mixed-Membership Blockmodel for
Inference on Realistic Network
Interactions
IEEE Transactions on Network Science
and Engineering
2019
Tractable learning of large Bayes net
structures from sparse data
Twenty-first international conference
on Machine learning - ICML '04
2004
Network Topology Inference
Springer Series in Statistics
2009
Estimating the total treatment effect in
randomized experiments with unknown
network structure
Proceedings of the National Academy of
Sciences
2022
Intersection of the Web-Based Vaping
Narrative With COVID-19: Topic Modeling
Study
Journal of Medical Internet
Research
2020
Stacking models for nearly optimal link
prediction in complex networks
Proceedings of the National Academy of
Sciences
2020
Intersection of the Web-Based Vaping
Narrative With COVID-19: Topic Modeling
Study (Preprint)
Unknown Venue
2020
Limitations of Design-based Causal
Inference and A/B Testing under Arbitrary
and Network Interference
Sociological Methodology
2018
Scalable estimation strategies based on
stochastic approximations: classical
results and new insights
Statistics and Computing
2015
A natural experiment of social network
formation and dynamics
Proceedings of the National Academy of
Sciences
2015
Accounting for Experimental Noise Reveals
That mRNA Levels, Amplified by
Post-Transcriptional Processes, Largely
Determine Steady-State Protein Levels in
Yeast
PLOS Genetics
2015
Post-transcriptional regulation across
human tissues
Unknown Venue
2015
Predicting traffic volumes and estimating
the effects of shocks in massive
transportation systems
Proceedings of the National Academy of
Sciences
2015
Estimating a Structured Covariance Matrix
From Multilab Measurements in
High-Throughput Biology
Journal of the American Statistical
Association
2015
Generalized Species Sampling Priors With
Latent Beta Reinforcements
Journal of the American Statistical
Association
2014
Constant Growth Rate Can Be Supported by
Decreasing Energy Flux and Increasing
Aerobic Glycolysis
Cell Reports
2014
Differential stoichiometry among core
ribosomal proteins
Unknown Venue
2014
Stephen E. Fienberg's Contributions to
Categorical Data Analysis and the Social
Sciences
CHANCE
2013
Correction: Quantifying
Condition-Dependent Intracellular Protein
Levels Enables High-Precision Fitness
Estimates
PLoS ONE
2013
Quantifying Condition-Dependent
Intracellular Protein Levels Enables
High-Precision Fitness Estimates
PLoS ONE
2013
Estimating Latent Processes on a Network
From Indirect Measurements
Journal of the American Statistical
Association
2013
Estimation of exchangeable graph models by
stochastic blockmodel approximation
2013 IEEE Global Conference on Signal
and Information Processing
2013
Multi-way blockmodels for analyzing
coordinated high-dimensional responses
The Annals of Applied Statistics
2013
Confidence sets for network structure
Statistical Analysis and Data
Mining
2011
Network sampling and classification: An
investigation of network model
representations
Decision Support Systems
2011
An entropy approach to disclosure risk
assessment: Lessons from real applications
and simulated domains
Decision Support Systems
2011
Ranking relations using analogies in
biological and information networks
The Annals of Applied Statistics
2010
Systems-level dynamic analyses of fate
change in murine embryonic stem cells
Nature
2009
Predicting Cellular Growth from Gene
Expression Signatures
PLoS Computational Biology
2009
Network Analysis of Wikipedia
Statistical Methods in e-Commerce
Research
Discovery of Latent Patterns with
Hierarchical Bayesian Mixed-Membership
Models and the Issue of Model Choice
Data Mining Patterns
2008
Whose Ideas? Whose Words? Authorship of
Ronald Reagan's Radio Addresses
PS: Political Science &
Politics
2007
Combining Stochastic Block Models and
Mixed Membership for Statistical Network
Analysis
Statistical Network Analysis: Models,
Issues, and New Directions
Getting Started in Probabilistic Graphical
Models
PLoS Computational Biology
2007
Statistical Network Analysis: Models,
Issues, and New Directions
Lecture Notes in Computer Science
2007
Who wrote Ronald Reagan's radio addresses?
Bayesian Analysis
2006
Integrating Utility into Face
De-identification
Privacy Enhancing Technologies
2006
Markov Blankets and Meta-heuristics
Search: Sentiment Extraction from
Unstructured Texts
Advances in Web Mining and Web Usage
Analysis
2006
The Effects of Location Access Behavior on
Re-identification Risk in a Distributed
Environment
Privacy Enhancing Technologies
2006
A Network Analysis Model for
Disambiguation of Names in Lists
Computational and Mathematical
Organization Theory
2005
A latent mixed membership model for
relational data
Proceedings of the 3rd international
workshop on Link discovery
2005
Sampling algorithms for pure network
topologies
ACM SIGKDD Explorations
Newsletter
2005
Recovering latent time-series from their
observed sums
Proceedings of the tenth ACM SIGKDD
international conference on Knowledge
discovery and data mining
2004
Statistical Challenges in Network Analysis
SSRN Electronic Journal
2009
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