### Curriculum Vitae

#### Education

August 2012 - May 2018 (expected) |
Ph.D. Physics
Cornell University |

August 2008 - May 2012 |
B.S. Physics
University of Minnesota |

August 2008 - May 2012 |
B.S. Mathematics
University of Minnesota |

#### Projects

inference, regularization, convex optimization, model selection |
Bayesian Inference of Currents from Magnetic Flux Images Inferring currents from magnetic images is a deconvolution problem I solved by using convex optimization to regularize the maximum likelihood with finite-support and novel isotropic total variation priors. |

machine learning, inverse Ising, clustering, geometry, complex systems |
Effective Models of Spin Glasses I found effective coarse-grained models of spin glasses-a canonical model for a disordered solid-using information theoretic clustering and minimum probability flow learning. This method promises more interpretable maximum entropy models for complex systems. |

image registration, inference, bias in maximum likelihood |
Multi-Image Registration for cryoSTEM and Aberration Correction Image registration is necessary to improve signal-to-noise in low temperature electron microscopy, and to correct aberrations both before and after image formation. I developed a maximum likelihood theory to study this problem and analyze the inherent bias in estimating image shifts. |

#### Research Experience

August 2012 - Present |
Cornell University, Prof. James P. Sethna (Statistical and Condensed Matter Physics) |

June 2011 - August 2011 |
Cornell University, Prof. Benjamin Widom (Statistical Physics and Thermodynamics) |

Sept 2009 - May 2012 |
University of Minnesota, Prof. Allen Goldman (Experimental Low Temperature Condensed Matter Physics) |

#### Selected Publications

Image Registration for low signal-to-noise cryoSTEM dataB. Savitzky, I. El Baggari, C. Clement, E. Waite, R. Hovden, and L. KourkoutisIn preparation 2017 [1] |

Current Reconstruction from Flux Images by Bayesian InferenceC. Clement, K. Nowack, and J. SethnaIn preparation 2017 [2] |

Information Geometry and Effective Hamiltonians of Spin GlassesC. Clement, D. Liarte, A. Middleton, and J. SethnaIn preparation 2017 [3] |

Bayesian Theory of Image Registration: Analysis of BiasC. Clement and J. SethnaIn preparation 2017 [4] |

#### Skills

Languages | Python, C, CUDA, FORTRAN, HTML, CSS, Unix |

#### Honors & Awards

2013 & 2014 | NSF GRFP Honorable Mention |

2013 & 2014 | Cornell Physics TA Training Leader |

2010 | Edmond G. Franklin Scholarshipm James Kotke Scholarship |

2008 - 2010 | Deans List |

#### All Publications

### Talks

Effective hamiltonians of 2D spin glass clustersC. Clement, D. Liarte, A. Middleton, and J. Sethna APS 2015 [C1] [pdf] |

Effective hamiltonians of 2D spin glass clustersC. Clement, D. Liarte, A. Middleton, and J. Sethna Rutgers Stat Mech Meeting 2015 [C2] [pdf] |

Bayesian 2D Current Reconstruction from Magnetic ImagesC. Clement, M. Bierbaum, K. Nowack, and J. Sethna APS 2016 [C3] [pdf] |

Evidence for a transcritical bifurcation in the 2D Ising modelC. Clement, A. Raju, L. Hayden, D. Rocklin, C. Duncan, and J. Sethna APS 2017 [C4] [pdf] |

Effective Hamiltonians of 2D Spin Glass ClustersC. Clement, D. Liarte, A. Middleton, and J. Sethna StatPhys 2016 [C5] |

### Posters

Measuring and Correcting Transmission Electron Microscopy Aberrations with a Pixel Array DetectorC. Clement, P. Cueva, B. Savitzky, K. Nguyen, L. Kourkoutis, J. Sethna, and D. MullerCBB Symposium 2017 [C1] |

### Journal Articles

Image Registration for low signal-to-noise cryoSTEM dataB. Savitzky, I. El Baggari, C. Clement, E. Waite, R. Hovden, and L. KourkoutisIn preparation 2017 [J1] |

Current Reconstruction from Flux Images by Bayesian InferenceC. Clement, K. Nowack, and J. SethnaIn preparation 2017 [J2] |

Information Geometry and Effective Hamiltonians of Spin GlassesC. Clement, D. Liarte, A. Middleton, and J. SethnaIn preparation 2017 [J3] |

Normal Form of the Two-Dimensional Ising Model Renormalization Group FlowsC. Clement, A. Raju, and J. SethnaIn preparation 2017 [J4] |

Bayesian Theory of Image RegistrationC. Clement and J. SethnaIn preparation 2017 [J5] |

Renormalization group and normal form theoryA. Raju, C. Clement, L. Hayden, J. Kent-Dobias, D. Liarte, D. Rocklin, and J. SethnaArXiv 2017 [J6] |

Phase Diagram of Electrostatically Doped $\mathrm{SrTiO}_3$Y. Lee, C. Clement, J. Hellerstedt, J. Kinney, L. Kinnischtzke, X. Leng, S. Snyder, and A. GoldmanPRL 2011 [J7] [pdf] |

#### Industry Experience

Summer 2009 & 2010 | Lockheed Martin, Research and Development Intern |

#### Teaching Experience

Spring 2013 | Waves, Optics, Modern Physics (P2214), TA |

Fall 2013 | Honors Electromagnetism (P2217), TA |

Spring 2014 | Honors Waves and Thermodynamics (P2218), TA |

Spring 2015 | Honors Waves and Thermodynamics (P2218), Lab Assistant |

#### Activities

2013 - Present | Bluegrass & Classical Mandolin |

2014 - Present | Cornell University Klezmer Ensemble |

2016 - Present | Science for the People |