## C.V.

**EDUCATION**

Ph.D., Statistics, Cornell University (2015)

M.S., Statistics, Cornell University (2013)

B.S., Mathematics, Bucknell University (2010)

**PUBLICATIONS**

**PUBLICATIONS**

Giles Hooker and Lucas Mentch, "Bootstrap Bias Corrections for Ensemble Methods."

Lucas Mentch and Giles Hooker. “Formal Tests for Regression Structure in Random Forests.”

Mahya Mehrmohamadi, Lucas Mentch, Andrew Clark, and Jason Locasale, "Integrative Modeling of Tumor DNA Methylation Identifies a Role for Metabolism."

Giles Hooker and Lucas Mentch, "Comments on: A Random Forest Guided Tour."

Lucas Mentch and Giles Hooker, "Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests."

Bar, Haim, and Lucas Mentch. "R-CMap—An open-source software for concept mapping."

Frey, M.R., Miller, A.L., Mentch, L.K., and Grahm, J. "Score Operators of a Qubit with Applications",

Frey, M.R., Coffey, L.E., Mentch, L.K., Miller, A.L., and Rubin, S.S. "Correlation Identification in Bipartite Pauli Channels",

Frey, M.R., Coffey, L.K., Mentch, L.K., Miller, A.L. and Rubin, S.S., "Pauli channels exhibit a transition effect in memory estimation above a parametric threshold,"

Duy Hoang Thai and Lucas Mentch. "Multiphase Segmentation for Simultaneously Homogeneous and Textural Images.'' Applied Mathematics and Computation.

"SuRFIn: An R Package for Subsampled Random Forest Inference." with Sarah Tan and Giles Hooker.

"A Multi-Score Approach to Assessing the Quality of Latent Pattern Evidence." with Duy Thai, Robin Richter, Len Stefanski, Stephan Huckemann, and Carsten Gottschlich.

"Hold-Out Forests for Consistent Variable Selection." with Giles Hooker.

"Ensemble Tests for Factors Impacting Early Species Arrivals." with Timothy Coleman, Dan Fink, David Winkler, Wesley Hochachka, Frank La Sorte, and Giles Hooker.

Lucas Mentch, Maria Cuellar, William Thompson, and Cliff Spiegelman. "The Next Page: Four experts explain why forensic analysis of crime scenes is not as reliable as you might think.'' Pittsburgh Post Gazette. March 13, 2016.

William Thompson, Lucas Mentch, Maria Cuellar, and Cliff Spiegelman. "Who should control Houston's crime lab?'' Houston Chronicle. May 31, 2016.

Frey, M.R., Graham, J., Mentch, L.K., and, Miller, A.L., "Robust Probe for the Quantum Pauli Channel," Proceedings of the Physical and Engineering Sciences Section, 2010 Joint Statistical Meetings, Vancouver, August 3-7, 2010.

*Statistics and Computing*. In Press. arXivLucas Mentch and Giles Hooker. “Formal Tests for Regression Structure in Random Forests.”

*Journal of Computational and Graphical Statistics*. In press. arXivMahya Mehrmohamadi, Lucas Mentch, Andrew Clark, and Jason Locasale, "Integrative Modeling of Tumor DNA Methylation Identifies a Role for Metabolism."

*Nature Communications*. In press. bioRXivGiles Hooker and Lucas Mentch, "Comments on: A Random Forest Guided Tour."

*TEST*, 25(2), pp. 254-260, 2016. TESTLucas Mentch and Giles Hooker, "Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests."

*The Journal of Machine Learning Research*, 17(26), pp. 1-41, 2016. arXiv JMLRBar, Haim, and Lucas Mentch. "R-CMap—An open-source software for concept mapping."

*Evaluation and Program Planning*60 (2017): 284-292. PubMed EPPFrey, M.R., Miller, A.L., Mentch, L.K., and Grahm, J. "Score Operators of a Qubit with Applications",

*Quantum Information Processing*, 9(5), 629, 2010.Frey, M.R., Coffey, L.E., Mentch, L.K., Miller, A.L., and Rubin, S.S. "Correlation Identification in Bipartite Pauli Channels",

*International Journal of Quantum Information*, 8(7), 2010.Frey, M.R., Coffey, L.K., Mentch, L.K., Miller, A.L. and Rubin, S.S., "Pauli channels exhibit a transition effect in memory estimation above a parametric threshold,"

*Proceedings of SPIE, Quantum Information and Computation VIII*, E.J. Donkor, A.R. Pirich, and H.E. Brandt, eds., April 2010.__In Progress / Submitted:__Duy Hoang Thai and Lucas Mentch. "Multiphase Segmentation for Simultaneously Homogeneous and Textural Images.'' Applied Mathematics and Computation.

*Under Review*."SuRFIn: An R Package for Subsampled Random Forest Inference." with Sarah Tan and Giles Hooker.

*In Progress. Download the R package here.*"A Multi-Score Approach to Assessing the Quality of Latent Pattern Evidence." with Duy Thai, Robin Richter, Len Stefanski, Stephan Huckemann, and Carsten Gottschlich.

*In Progress.*"Hold-Out Forests for Consistent Variable Selection." with Giles Hooker.

*In Progress.*"Ensemble Tests for Factors Impacting Early Species Arrivals." with Timothy Coleman, Dan Fink, David Winkler, Wesley Hochachka, Frank La Sorte, and Giles Hooker.

*In Progress.*__Op-Eds / Non Peer-reviewed:__Lucas Mentch, Maria Cuellar, William Thompson, and Cliff Spiegelman. "The Next Page: Four experts explain why forensic analysis of crime scenes is not as reliable as you might think.'' Pittsburgh Post Gazette. March 13, 2016.

William Thompson, Lucas Mentch, Maria Cuellar, and Cliff Spiegelman. "Who should control Houston's crime lab?'' Houston Chronicle. May 31, 2016.

Frey, M.R., Graham, J., Mentch, L.K., and, Miller, A.L., "Robust Probe for the Quantum Pauli Channel," Proceedings of the Physical and Engineering Sciences Section, 2010 Joint Statistical Meetings, Vancouver, August 3-7, 2010.

**GRANTS & CONTRACTS**

- NSF DMS-1712041, 2017-2020: “Collaborative Research: Statistical Inference Using Random Forests and Related Methods”, $335,078 ($119,802), PI (in collaboration with Giles Hooker).
- dB-SERC Course Transformation Award, 2017-2018. “An Interdisciplinary Data Science Design for Undergraduate Students.” $10,000. PI

*TALKS & PRESENTATIONS*

*TALKS & PRESENTATIONS*

- CMStatistics, Invited Session (December 2017)
- Joint Statistical Meetings, Invited Session (August 2017)
- West Virginia University, Department of Forensic and Investigative Sciences (February 2017)
- Carnegie Mellon University, Center for Statistics and Application in Forensic Evidence (November 2016)
- University of Pittsburgh Statistics Seminar (September 2016)
- Carnegie Mellon University, Statistics and Machine Learning Research Group (September 2016)
- Joint Statistical Meetings, Topic Contributed Session. (August 2016)
- IMS New Researchers Conference (July 2016)
- SAMSI Undergraduate Workshop. (May 2016)
- SAMSI Transition Workshop. (May 2016)
- SAMSI Postdoc Seminar. (April 2016)
- SAMSI Undergraduate Workshop. (February 2016)
- SAMSI Undergraduate Workshop Tutorial. (February 2016)
- SAMSI Postdoc Seminar. (October 2015)
- NC State, Statistics Seminar. (March 2015)
- ENAR 2015 Spring Meeting, Invited Session. (March 2015)
- University of Pittsburgh, Statistics Seminar. (February 2015)
- Kansas State University, Statistics Seminar. (February 2015)
- U. of Central Florida, Statistics Seminar. (February 2015)
- William & Mary, Statistics Seminar. (January 2015).
- Wake Forest University, Statistics Seminar. (January 2015)
- University of Arkansas, Statistics Seminar. (December 2014)
- University of Michigan, Statistics Seminar. (November 2014)
- Artificial Intelligence Seminar, Cornell University. (September 2014)
- Graduate Student Seminar, Cornell University. (September 2014)
- Lab of Ornithology Seminar, Cornell University. (September 2014)
- Joint Statistical Meetings, Contributed Session. (August 2014)
- Joint Statistical Meetings, Contributed Session. (August 2013)
- Graduate Student Seminar, Cornell University. (April 2013)
- Biostatistics Research Group, Cornell University. (March 2013)

**AWARDS & FELLOWSHIPS**

**AWARDS & FELLOWSHIPS**

- SAMSI Postdoctoral Fellowship (2015)
- SUNY Graduate Fellowship (2010)
- Phi Beta Kappa, Bucknell U. (2010)
- Pi Mu Epsilon, Bucknell U. (2008)
- William Bucknell Scholarship (2008)
- The President's Award for Distinguished Academic Achievement (2007)
- Alpha Lambda Delta, Bucknell U. (2006)

**TEACHING**

**TEACHING**

All courses taught at the University of Pittsburgh unless otherwise noted

*Indicates a course that was newly developed

*Indicates a course that was newly developed

- STAT 1361*: Statistical Learning and Data Science (SP 2018)
- STAT 1291: Topics in Applied Statistics, Statistics and Data Science (SP 2017)
- STAT 1151: Introduction to Probability (FA 2016)
- ST 371: Introduction to Probability & Distribution Theory (SU 2016, NC State)
- ORIE 6700: Statistical Principles (FA 2012, Cornell University, Teaching Assistant)
- BTRY 3520*: Statistical Computing (SP 2012, Cornell University, Teaching Assistant)
- ILRST 2100: Introductory Statistics (FA 2011, Cornell University, Teaching Assistant)