
Research Interests
• Statistics: nonparametric statistics, empirical processes, topological data analysis, applied statistics
• Machine Learning: cluster analysis, statistical learning theory
• Cosmology: largescale structure, astrostatistics

Publications A Comprehensive Approach to Mode Clustering
YenChi Chen, Christopher R. Genovese, Larry Wasserman.
Electronic Journal of Statistics 10, no. 1 (2016): 210241.Nonparametric Modal Regression
YenChi Chen, Christopher R. Genovese, Ryan J. Tibshirani, Larry Wasserman.
The Annals of Statistics 44, no. 2 (2016): 489–514.Optimal Ridge Detection using Coverage Risk
YenChi Chen, Christopher R. Genovese, Shirley Ho, Larry Wasserman.
Advances in Neural Information Processing Systems 28 (NIPS 2015), 316324.Investigating GalaxyFilament Alignment in Hydrodynamic Simulations using Density Ridges
YenChi Chen, Shirley Ho, Ananth Tenneti et al.
Monthly Notices of the Royal Astronomical Society 454, no. 3 (2015): 3341–3350.Cosmic Web Reconstruction through Density Ridges: Method and Algorithm
YenChi Chen, Shirley Ho, Peter E. Freeman, Christopher R. Genovese, Larry Wasserman.
Monthly Notices of the Royal Astronomical Society 454, no. 1 (2015): 1140–1156.Asymptotic Theory for Density Ridges
YenChi Chen, Christopher R. Genovese, Larry Wasserman.
The Annals of Statistics 43, no. 5 (2015): 1896–1928.The Eleventh and Twelfth Data Releases of the Sloan Digital Sky Survey: Final Data from SDSSIII
Shadab Alam, Franco D. Albareti, Carlos Allende Prieto et al.
The Astrophysical Journal Supplement Series 219, no. 1 (2015): 12.Preprints Confidence Sets for Density Trees (2016)
YenChi Chen, Jisu Kim, Sivaraman Balakrishnan, Alessandro Rinaldo, Larry Wasserman.Intrinsic Alignment in redMaPPer clusters I. Central Galaxy Alignment (2016)
HungJin Huang, Rachel Mandelbaum, Peter E. Freeman, YenChi Chen et al.Statistical Analysis of Persistence Intensity Functions (2015)
YenChi Chen, Daren Wang, Alexandro Rinaldo, Larry Wasserman.Detecting Effects of Filaments on Galaxy Properties in Sloan Digital Sky Survey III (2015)
YenChi Chen, Shirley Ho, Rachel Mandelbaum et al.Cosmic Web Reconstruction through Density Ridges: Catalogue (2015)
YenChi Chen, Shirley Ho, Jon Brinkmann et al.Statistical Inference Using the MorseSmale Complex (2015)
YenChi Chen, Christopher R. Genovese, Larry Wasserman.Density Level Sets: Asymptotics, Inference, and Visualization (2015)
YenChi Chen, Christopher R. Genovese, Larry Wasserman.Risk Bounds for Mode Clustering (2015)
Martin Azizyan, YenChi Chen, Aarti Singh and Larry Wasserman.Generalized Mode and Ridge Estimation (2014)
YenChi Chen, Christopher R. Genovese, Larry Wasserman.Uncertainty Measures and Limiting Distributions for Filaments (2013)
YenChi Chen, Christopher R. Genovese, Larry Wasserman.Paper in Progress HighDimensional Density Clustering
YenChi Chen, Christopher R, Genovese, Larry Wasserman.Diagnostics for Mode Clustering
Jose Chacon, YenChi Chen, Larry Wasserman. 
Selected Talks Invited Talk. Asymptotic Theory for Density Ridges. (2016, Aug.) 2016 International Indian Statistical Association Conference, Oregon State University, Corvallis, OR. Invited Talk. Nonparametric Methods for Detecting LargeScale Structure. (2016, Aug.) Joint Statistical Meeting, Chicago, IL. Contributed. Cosmic Web Reconstruction through Density Ridges. (2016, June) Statistical Challenges in Modern Astronomy VI, Pittsburgh, PA. Contributed. Cosmic Web Reconstruction through Density Ridges. (Slides, 2016, May) Statistical Challenges in 21st Century Cosmology, Chania, Greece. Job Talk. Statistical Inference using Geometric Features. (Slides, 2016) Invited Talk. Statistical Inference using Geometric Features. (Dec. 2015) INRIASaclay, Palaiseau, France. Invited Talk. Statistical Inference using Geometric Features. (Dec. 2015) Pierre and Marie Curie University (UPMC Paris 6), Paris, France. Invited Talk. Asymptotic Theory for Density Ridges. (Slides, 2015, Dec.) 8th International Conference of the ERCIM WG on Computational and Methodological Statistics, University of London, London, UK. More Talks (click to show) 
Research Groups • CMU TopStat (Statistics) • The Dark Lab (Cosmology) • The Toronto Lab of Cell Size (Cell Biology) • CMU Astrostatistics (Statistics, Cosmology) • Statistical Machine Learning Theory Group (Statistics, Machine Learning) • CMU Cosmo/ML/Stats Research Group (Statistics, Cosmology, Machine Learning) Scientific Collaborations Cosmology  Large Scale Structure
Collaborator :
• Rupert Croft (Carnegie Mellon University)
• Tiziana DiMatteo (Carnegie Mellon University)
• Peter E. Freeman (Carnegie Mellon University)
• Shirley Ho (Carnegie Mellon University)
• Mariana Vargas Magana (Carnegie Mellon University)
• Rachel Mandelbaum (Carnegie Mellon University)
• Ananth Tenneti (Carnegie Mellon University)
Link to our publicly available filament catalogue: Cosmic Web Reconstruction.Cell Biology  Cell Cycle and Cell Size
Collaborator :
• Miriam Ginzberg (Harvard Medical School)
• Ran Kafri (University of Toronto)
• Shixuan Liu (University of Toronto)Psychology  Language Learning and Cognition
Collaborator :
• LiYun Chang (National Taiwan Normal University)