Dissertate

Dissertate is a set of beautiful LaTeX templates for a thesis or dissertation. Here's a sample.

Note: You can download the templates here:

• Harvard
• NYU
• Princeton
• UC Berkeley
• Generic

One of the biggest hurdles in submitting a thesis or dissertation is getting the formatting right — the rules are arcane, and the registrar is pedantic. Few students have the background needed to design and typeset clean and stylish documents. Enter Dissertate. Dissertate is a set of beautiful LaTeX templates for a thesis or dissertation. To date, the software provides everything needed to support the production and typesetting of a PhD dissertation at Harvard, Princeton, NYU, and UC Berkeley, though it will be adapted to meet the requirements of other schools — eventually all of them. The format and styling are based closely on the requirements published by each university's registrar.

Examples of Dissertations using Dissertate

Austrailian National University

• Duong, Ly. (2018). Unravelling the evolution of the Galactic stellar disk & bulge [Doctoral dissertation, Austrailian National University].

Flinders University

• Szpak, Ancrêt. L. (2015). The Social Space Around Us: the effect of social distance on spatial attention [Doctoral dissertation, Flinders University, Adelaide, South Australia].

Friedrich–Alexander University Erlangen–Nürnberg

• Harutyunyan, Nikolay. (2019). Corporate Open Source Governance of Software Supply Chains [Unpublished doctoral dissertation, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)].

Harvard College & Harvard University

• Ayala, Peter. (2019). Evaluating Stock Market Performance Using Aggregated Employee Reviews [Bachelor's thesis, Harvard College].
• Dimiduk, Thomas. G. (2016). Holographic Microscopy for Soft Matter and Biophysics [Unpublished doctoral dissertation, Harvard University, Cambridge, Massachusetts].
• Fu, Daniel. Y. (2018). Design of Influencing Agents for Flocking in Low-Density Settings [Senior thesis, Harvard University, Cambridge, Massachusetts].
• Garruss, Alexander Shineman. (2020). Accelerating the Understanding and Design of Intracellular Biosensors by Massively Multiplexed Experimentation and Machine Learning (Pulication No. 28265270) [Doctoral dissertation, Harvard University].
• Limor, Gultchin. (2017). [Just for Laughts: Utilizing Machine Learning to Rate and Generate Humorous Analogies](https://dash.harvard.edu/handle/1/38811513 [Senior thesis, Harvard College].
• Randle, Dylan L. (2020). Unsupervised Neural Network Methods for Solvong Differential Equations [Master's thesis, Harvard University].
• Xiong, Zhaoxi. (2019). Classification and Construction of Topological Phases of Quantum Matter [Doctoral dissertation, Harvard University, Cambridge, Massachusetts].]

Hokkaido University

• Zhai, Hongjie. (2018). Study on Discovery and Exploration Systems Considering User’s Intention [Unpublished doctoral dissertation, Hokkaido University].

Humboldt University of Berlin

• Lubitz, Timo. (2016). From signal to metabolism: A journey through the regulatory layers of the cell [Doctoral dissertation, Humboldt-Universität zu Berlin].

National University of Singapore

• Lim Yong San, Gilbert. (2015). Automated Methods for Retinopathy and Glaucoma Screening [Doctoral dissertation, National University of Singapore].

New York University

• Heinrich, Lukas. (2019). Searches for Supersymmetry, RECAST, and Contributions to Computational High Energy Physics(Publication No. 13421570) [Doctoral dissertation, New York University].

Paris-East Créteil University

• Buczkowska, Sabina. (2017). Quantitative models of establishments location choices : spatial effects and strategic interactions [Doctoral dissertation, Université Paris-Est].

Paris Sciences et Lettres University

• Saussay, Aurelien. (2018). Trois essais sur les prix de l'énergie et la transition énergétique [Unpublished doctoral dissertation, de l’Université de recherche Paris Sciences et Lettres PSL Research University].

Ruprecht Karl University of Heidelberg

• Malygin, Mykola G. (2016). Gas Opacity in Planet and Star Formation [Unpublished doctoral dissertation, Ruperto Carola Universitat].

Saint Martin’s University

• Lentz, Jotham C. (2018). A Fuzzy Architecture for Robotics Sensor Information Integration [Master's thesis, Saint Martin’s University, Lacey, Washington].
• Mortimer, Laura A. (2017). Fluid Velocity Vector Field Measurement in Synovial Joints [Master's thsis, Saint Martin’s University, Lacey, Washington].

Stanford University

• Hawkins, Robert. D. (2019). Coordinating on meaning in communication [Unpublished doctoral dissertation, Stanford University, Stanford, CA].

Technical University of Darmstadt

• Leonard, Mark. Ryan. (2019). Robust Signal Processing in Distributed Sensor Networks [Unpublished doctoral dissertation, Technische Universität Darmstadt].

The Polytechnic University of Catalonia

• Pérez, Víctor Javier Jiménez. (2016). Improving the Efficiency of Multicore Systems Through Software and Hardware Cooperation [Doctoral dissertation, Universitat Politè cnica de Catalunya – Barcelona Tech Barcelona].

University of Amsterdam

• Lê, Hoàng-Ân. (2021). Outdoor image understanding from multiple vision modalities [Doctoral dissertation, University of Amsterdam].

University of Birmingham

• Kuszlewicz, James. Stevenson. (2017). Buoyancy-driven oscillations in helio- and asteroseismology [Doctoral dissertation, University of Birmingham].

University of Bologna

• Asri, Ankush. (2019). When Giulia and Andrea meet Salma and Omar: Essays on cultural adaptation [Unpublished doctoral dissertation, Universit´a di Bologna].

Universite de Bordeaux

• Golemo, Florian. (2018). How to Train Your Robot - New Environments for Robotic Training and New Methods for Transferring Policies from the Simulator to the Real Robot [Doctoral dissertation, Universite de Bordeaux, Bordeaux, France].

University of California, Berkeley

• Langlois, Thomas A. (2018). Uncovering Human Visual Priors(Publication No. 10931026) [Doctoral dissertation, University of California, Berkeley].
• Meylan, Stephan C. (2018). Representing linguistic knowledge with probabilistic models(Publication No. 10931065) [Doctoral dissertation, University of California, Berkeley].
• Pacer, M D. (2016). Mind as Theory Engine: Causation, Explanation and Time(Publication No. 10194103) [Doctoral dissertation, University of California, Berkeley].
• Peterson, Joshua C. (2018). Leveraging deep neural networks to study human cognition(Pulication No. 10930700) [Doctoral dissertation, University of California, Berkeley].

University of Cambridge

• Qin, Chongli. (2020). [Phylogenetic Signals in Protein Data](https://www.repository.cam.ac.uk/bitstream/handle/1810/318986/PhD