To join the mailing list or for more information, please contact yyl@channing.harvard.edu
——————————————————————– 2024 ————————————————————————–
06/18/2024 Fei Wang (Weill Cornell Medicine) : TBD
05/07/2024 Gordana Ispirova (BWH & HMS): TBD
04/30/2024 Sune Lehmann (Technical University of Denmark): Using sequences of life-events to predict human lives
04/23/2024 Fabian Theis (German Research Center for Environmental Health): TBD
03/26/2024 Georg Hahn (BWH & HMS): Prediction of disease-free survival for precision medicine using cooperative learning on multi-omic data
03/12/2024 Liyun He (BWH & PUMCH): Advancing Metabolic Disease Care through Data-Driven Research
02/27/2024 Jianyang Zeng (Westlake University) : Machine Learning for Modeling Biological Data
02/13/2024 James Zou (Stanford University) : Graph neural networks and generative AI for spatial biology and pathology
02/06/2024 Samuel Boyd: Multi-omic and network analyses after O-GlcNAc alteration identifies cellular processes which promote liver aneuploidy
——————————————————————– 2023 ————————————————————————–
12/19/2023 Anna Neufeld : Data thinning to overcome double dipping
12/5/2023 Weijie Su : A Law of Data Separation in Deep Learning
11/21/2023 Santo Fortunato : Community detection in biological networks: problems, solutions and help from AI
11/7/2023 Carlo Maj : Deriving sparse polygenic risk models via statistical boosting on large genotype datasets: a phenome-wide analysis of the UK Biobank
10/24/2023 Julian Hecker : Detecting parent-of-origin effects on omics data
10/10/2023 Qiang Zhang : Language and Knowledge driven Scientific Discovery
09/26/2023 Jörg Menche : Network medicine beyond protein-protein interactions
09/12/2023 Tinashe Chikowore : Utility of recall-by-genotype approach for causal inference of drug target side-effects
06/13/2023 Bonn Stephan: Integration of large biomedical data to robustly predict and understand human disease
05/30/2023 Yizhou Sun: Neural-Symbolic Reasoning on Knowledge Graphs
05/16/2023 Luca Becchetti: The Fair Densest Subgraph Problem and its Applications
05/02/2023 Margherita De Marzio: The role of vitamin D in autism: a network study
04/11/2023 Benjamin Gyori : Accelerating biomedical discovery with large-scale mechanistic knowledge assembly and model generation
03/07/2023 Enrico Maiorino: Descriptive vs. inferential community detection
02/28/2023 Can Chen : Deciphering Biological Networks through Hypergraph Learning
02/07/2023 Marinka Zitnik: Graph AI to Enable Precision Medicine
01/24/2023 Yi Zhao: Principal regression for covariance matrix outcomes with applications in neuroimaging data
01/10/2023 Mike McGeachie: A History of AI and Machine Learning
——————————————————————– 2022 ————————————————————————–
04/29/2022 Jean-Gabriel Young: Uncertain Network Science: Existing Methods and Next Steps
05/06/2022 Hillel Sanhedrai: Reviving a failed network through microscopic interventions
06/03/2022 Istvan Kovacs: Emergence of functional interactions in complex systems
06/17/2022 Pan Zhang: Computation with Tensor Networks
09/13/2022 Vince Carey: De-siloing Genomic Data Science
09/27/2022 Peter Castaldi: Learning from Biological Data with Interpretable Machine Learning Models
10/11/2022 Julian Hecker: Using machine learning in statistics: doubly robust inference
11/22/2022 Bernard Rosner: Two-stage model for time to breast cancer mortality among a cohort of initially disease-free women
——————————————————————– 2021 ————————————————————————–
07/30/2021 Orr Levey: Age-related loss of gene-to-gene transcriptional coordination among single cells
——————————————————————– 2020 ————————————————————————–
05/08/2020 Changjun Fan: FINDER: find key players in complex network using deep reinforcement learning
06/12/2020 Brett K. Beaulieu-Jones: Overcoming Obstacles for Practical Machine Learning in Healthcare
11/06/2020 Ye Yuan: Data driven discovery of cyber physical systems and an interpretable mortality prediction model for COVID-19 patients
10/07/2020: Amir Bashan: Age-related loss of gene-to-gene transcriptional coordination among single cells
——————————————————————– 2019 ————————————————————————–
07/19/2019 Eduardo Sontag : Dynamical aspects of antigen recognition, tumor/immune interactions, and spontaneous versus induced evolution of drug resistance during cancer treatment
07/12/2019 Shou-Wen Wang : Emergence of collective oscillations in adaptive cells
03/22/2019 Mauro Martino : Beautiful Bits – The beauty that excites in digital interfaces and artificial intelligence
03/19/2019 Yasser Omar : Introduction to Complex Quantum Networks
03/08/2019 Ginestra Bianconi : Multilayer networks: Structure and Function
02/11/2019 Hongfu Liu : Clustering, Multi-view Learning and Transfer Learning
02/08/2019 Nima Dehmami: Physical properties of minimally wired networks in 3D
01/29/2019 Louis Shekhtman: Resilience of networks with community structure
01/24/2019 Qi Song: Computational Analysis of Gene Regulations in Plants
——————————————————————– 2018 ————————————————————————–
11/07/2018: Guillermo Ramírez-Santiago : Model for Breast Cancer Diversity and Heterogeneity
09/28/2018: Honghuang Lin: Integrative omics study of atrial fibrillation: the Framingham Heart Study
07/23/2018: Pau Vilimelis Aceituno : Tailoring Dynamics in Recurrent Neural Network for Optimal Learning
07/13/2018: Gaogao Dong : Resilience of networks with community structure behaves as if under an external field
06/01/2018: Min Yu : Translating Artificial Intelligence into Health Care: Advances and Challenges
05/25/2018: Yannis Paschalidis : Distributionally Robust Learning and Applications to Predictive Health Analytics
04/05/2018: Sérgio Pequito : A Framework for Structural Input/Output and Control Configuration Selection of Complex Networks
03/23/2018: Chengxi Zang : Modeling the Dynamics of WeChat Social System
03/09/2018: István Kovács : Network-based prediction of protein interactions
03/07/2018: Yutaka Shimada : From Networks to Time Series
——————————————————————– 2017 ————————————————————————–
10/6/2017 Vrushali Fangal : MIDAS – automatic translation of MechanIstic rules to DynAmic logic ruleS
8/11/2017 Tao Jia : Quantifying patterns of research interest evolution
7/28/2017 Mihir Pant : Quantum Computing and Percolation Theory
7/27/2017 Junming Huang : Exploring Gender Gap in Academia
7/19/2017 Jessie Lowell : Toward the Evolution of Modularity
6/16/2017 Lei Dai : Unraveling the Structure of Fitness Landscapes
6/2/2017 Arezou Ghazani : It Takes Two: The Complementary Roles of Constitutional And Tumor Genomes in Clinical Interpretation of Cancer
2/24/2017 Gang Yan : Network control principles unveil neuronal roles in C. elegans nervous system
2/7/2017 Michael Danziger : Beyond interdependent networks: bringing networks of networks to life
2/3/2017 Tina Eliassi-Rad : The Reasonable Effectiveness of Roles in Complex Networks
——————————————————————– 2016 ————————————————————————–
10/28/2016 Amar Dhand : Patients’ social networks and health outcomes
10/21/2016 Jorge Gómez Tejeda Zañudo : Network-based Dynamic Modeling and Control Strategies in Complex Diseases
10/19/2016 Jianhua Xing : Epithelial-to-Mesenchymal Transition, Cancer Metastasis and Fibrosis
5/20/2016 Dmitry Korkin : The Variation Game: Studying Impact of Genetic and Post-Transcriptional Variations at the Systems Level
4/29/2016 Yanxin Jia : Electrochemical Micro-Oscillator Networks
4/8/2016 Lenore Cowen : Diffusion-Based Metrics for Biological Network Analysis
3/25/2016 Kirill Korolev : Mutations slow down cancer
2/26/2016 Pankaj Mehta : Combining statistical physics with genome-wide datasets to understand cellular reprogramming dynamics
2/5/2016 Jianxi Gao : Universal Resilience Patterns in Complex Networks
1/29/2016 Abhijeet Sonawane : The role of epigenetic information in PANDA’s message passing model
1/22/2016 Benjamin J Hescott : CANDL – Coarsely Aligning Networks with Diffusion and Landmarks
1/15/2016 Navid Dianati : Unwinding the hairball graph: pruning algorithms for weighted complex networks
——————————————————————– 2015 ————————————————————————–
12/18/2015 Marco Tulio Angulo : Rigorous analysis of complex networked systems combining Network Science and System Theory
12/11/2015 Marieke Kuijjer : Identification of key regulatory pathways in ovarian cancer subtypes
12/04/2015 Feixiong Cheng : Marriage of Network Biology and Panomics Yields New Promises for Precision Cancer Medicine
11/20/2015 Nidhi Sahni: Widespread Interactome Network Perturbations in Human Genetic Disorders
10/30/2015 Xin Jiang: Finding shortest paths on networks based on quantum bosonic mechanism
10/23/2015 Bingbo Wang : Diversified Control Paths: A Significant Way Disease Genes Perturb the Human Regulatory Network
09/25/2015 Ingo Scholtes : Analysis of Non-Markovian Temporal Networks: Spectral Methods and Centrality Measures
09/18/2015 Raymond Fu : When Data Meet Uncertainty
09/04/2015 Junming Huang : Identifying and quantifying social influence in information propagation
06/19/2015 Marc Santolini : Towards a personalized approach to Heart Failure
06/12/2015 Yongjin Park : Understanding tissue-specificity through static networks
05/29/2015 Ruisheng Wang : Illuminating Drug Action by Network Integration of Disease Genes: A Case Study of Myocardial Infarction
05/15/2015 Assieh Saadatpour : Characterizing heterogeneity in leukemic cells using single-cell gene expression analysis
05/08/2015 JP Onnela : Incorporating contact network structure in cluster randomized trials
05/01/2015 Amitabh Sharmar : IDEAL: Impact of Differential Expression Across Layers in multiple omics networks associated with asthma
04/17/2015 Damien Croteau-Chonka : (Journal Club) System Model Network for Adipose Tissue Signatures Related to Weight Changes in Response to Calorie Restriction and Subsequent Weight Maintenance
04/10/2015 Maksim Kitsak : Latent Geometry in Technological, Social and Biological Systems
04/03/2015 Navid Dianati : A family of network growth models with arbitrary degree distribution and high clustering from interacting random walkers in a metric space
03/20/2015 Wei Chen : Explosive percolation in random graphs
03/13/2015 Emre Guney : Systematic drug efficacy screening using network-based drug-disease proximity
03/06/2015 Juan Fernandez Gracia : The power of a toy model: The Voter Model and presidential elections
02/20/2015 Yaonan Zhang : Estimating Network Degree Distributions Under Sampling: An Inverse Problem, with Applications to Monitoring Social Media Networks
02/06/2015 Avi Shapiro : Coevolutionary Dynamics of a Public Goods Game on a Network
01/23/2015 Shaoshuai Mou : Distributed Control of Multi-Agent Networks
01/16/2015 Istvan Kovacs : A unified data representation theory for network visualization, ordering and coarse-graining
——————————————————————– 2014 ————————————————————————–
12/12/2014 Megha Padi : Single-cell p53 dynamics in response to oncogenic activation
12/05/2014 Soumya Raychaudhuri : Disentangling effects of colocalizing genomic annotations to functionally prioritize non-coding variants within complex trait loci
11/21/2014 Lijun Peng : Bayesian Ridge-Regularized Covariance Selection with Community Behavior in Latent Gaussian Graphical Models
11/14/2014 Lei Dai : Spatio-temporal Dynamics Before Population Collapse
11/07/2014 Sriram Chandrasekaran : Predicting Cellular Metabolism using Genome-Scale Metabolic and Regulatory Network Models
10/31/2014 Daniel Larremore : A complex networks approach to understanding genetic recombination in malaria antigens
10/17/2014 Kimberly Glass : Integrating Epigenetic Information Into Message-Passing Network Models
10/10/2014 John Platig : Understanding Complex Traits with Complex Networks
09/12/2014 Endre Csóka : What mathematicians can help you deal with large networks?
09/05/2014 Erzsébet Ravasz Regan : Principles of dynamical modularity in biological regulatory networks
08/15/2014 (Samuel) Qing-Shan Jia : Ordinal and Event-Based Optimization for Large Scale Networked Systems
07/02/2014 Eivind Almaas : A story of biological networks