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Copy file name to clipboardExpand all lines: CV.tex
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\noindent Machine learning and inference expert working at the forefront of cosmological data analysis and 21-cm cosmology:
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\begin{itemize}
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\item PhD begun in 2019
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\item32 international conference talks, including 3 invited contributions, one talk at the European AI for Fundamental Physics Conference. Two additional upcoming talks.
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\item33 international talks, including 3 invited contributions, one talk at the European AI for Fundamental Physics Conference. Three additional upcoming talks.
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\item 11 first author papers and 11 contributing author papers, including two publications in Nature Astronomy
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\item Supervision of 5 PhD students, 5 Masters students and 1 summer student since October 2023
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\item Supervision of undergraduate Relativity and computing courses and lecturing for Data Intensive Science MPhil
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\begin{tabular}{L!{\vrule}R}
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October 2019 - September 2023 & \textbf{PhD in Physics}, Cavendish Astrophysics, University of Cambridge. \href{https://github.com/htjb/Thesis}{\textit{A Machine Learning-enhanced Toolbox for Bayesian 21-cm Data Analysis and Constraints on the Astrophysics of the Early Universe}} Supervised by Prof. Eloy de Lera Acedo, Dr Will Handley and Prof. Anastasia Fialkov. \\
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2015 - 2019 & \textbf{M.Phys. Physics with Astrophysics, $\mathbf{1^{st}}$ Class}, University of Manchester. \href{https://www.sciencedirect.com/science/article/pii/S0927650520301043?via\%3Dihub}{\textit{An updated estimate of the cosmic radio background and implications for ultra-high-energy photon propagation}}. Performed with I.C. Ni\c{t}u and supervised by Prof. Anna Scaife and Dr Justin Bray. \\
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%2008 - 2015 & Churchdown School Academy, Gloucestershire. \\ &\textbf{A-Levels:} 3 A grades, \textbf{AS-levels:} 2 A grades, \textbf{GCSE:} 7 A$^*$ grades, 3 A grades and 1 B. \\ & Highest GCSE and A-Level grades in year group.
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\end{tabular}
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\section*{Employment}
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\subsection*{Conference, Seminar and Workshop Talks}
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\begin{tabular}{L!{\vrule}R}
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June 2025 & \textit{\href{}{On the accuracy of posterior recovery with neural network emulators}}, \href{https://eas.unige.ch/EAS_meeting/session.jsp?id=S15}{European Astronomical Society Annual Meeting, Cork} \\
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June 2025 & \textit{\href{}{On the accuracy of posterior recovery with neural network emulators}}, \href{https://agenda.infn.it/event/43565/}{European AI for Fundamental Physics Conference, Sardinia} \\
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May 2025 & \textit{\href{}{Constraining the stochasticity of star formation across galaxy populations with simulation based inference}, Simulation Based Inference for Galaxy Evolution}, University of Bristol, UK \\
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May 2025 & \textit{\href{}{Constraining the stochasticity of star formation across galaxy populations with simulation based inference}}, \href{https://sbi-galev.github.io/2025/}{Simulation Based Inference for Galaxy Evolution}, University of Bristol, UK \\
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April 2025 & \textit{\href{https://github.com/htjb/Talks/raw/master/Talks/Galaxies_discussion_group_IMF_21cm_April25/galaxies_discussion_IMF_21cm_April25.pdf}{21cm Cosmology and the PopIII IMF}}, Extra Galactic Group, University of Camrbidge \\
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November 2024 & \textit{\href{https://github.com/htjb/Talks/raw/master/Talks/Kavli-high-dimensional-analysis-20NOV24/posterior-validation.pdf}{On the accuracy of posterior recovery with neural network emulators}}, Cosmological inference in high dimensions, Kavli Science Focus Meeting, University of Cambridge, UK \\
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November 2024 & \textit{\href{https://github.com/htjb/Talks/raw/master/Talks/CosmoCube-JPL-Workshop-2024/calibration-jpl-cosmocube.pdf}{Calibration for 21-cm cosmology}}, CosmoCube@JPL workshop, Jet Propolsion Laboratory, California, US \\
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October 2024 & \textit{\href{https://github.com/htjb/Talks/raw/master/Talks/21cm-Meeting-14OCT24/posterior-validation.pdf}{On the accuracy of posterior recovery with neural network emulators}}, 21 cm Discussion Group, University of Cambridge, Cambridge, UK \\
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