Vincent Dumont

Postdoctoral Researcher · Lawrence Berkeley National Laboratory · 050B-3238E

I am a Postdoctoral Researcher at the Lawrence Berkeley National Laboratory, currently working on hyperparameter optimization using surrogate modeling and uncertainty quantification. In my previous project at Berkeley Lab, I worked on deep learning applications for Distributed Acoustic Sensing data from Dark Fiber Testbed for groundwater mapping and broadband seismic event detection. My current areas of interest are machine learning, sensor network technology, and data scalability in high-performance computing environments. I am also interested in quantum computing and in particular the challenges regarding noise-canceling for superconducting qubit systems and I/O communication between quantum processors and classical controllers. Before joining Berkeley Lab, I was a postdoc at the University of California, Berkeley where I specialized in magnetometer networks for coherent searches of magnetic transient events. One of the networks I worked on is part of an international effort to detect inhomogeneous dark matter and consists of over a dozen magnetically shielded high-sensitivity atomic magnetometers, each of which is synchronized to the GPS timing. Another network, for which I am still heavily involved, consists of a distributed detector of triple-axis fluxgate magnetometers aimed to study the magnetic pulse of cities, that work is done collaboratively with the Center of Urban Science and Progress in New York City. Before coming to Berkeley, I completed my Ph.D. in Astrophysics at the University of New South Wales in Australia, where I analyzed quasar absorption line data to investigate whether the values of fundamental constants of nature might have been different in the early Universe.


Winter view of Lake Tahoe from Hurricane Bay with different painting styles. Processed images generated by GoArt AI. Original photography by Vincent Dumont.

Postdoctoral Researcher

Lawrence Berkeley National Laboratory

  • Develop hyperparameter optimization (HPO) software, HYPPO, using surrogate modeling, uncertainty quantification and asynchronous nested parallelism.
  • HPO on U-Net models for fluid dynamics simulations, GAN models for High-Energy Physics simulations, and Graph neural nets for time-series predictions.
  • Develop highly-scalable machine learning software package, MLDAS, for Distributed Acoustic Sensing data analysis.
  • Use Hessian-based optimization algorithm on supervised deep residual neural network.
  • Explore surface wave signal classification using UMAP and t-SNE machine learning techniques.
  • Build classifier to identify coherent surface wave energies in large seismic datasets.
  • Develop Physics-Informed Neural Network for surface wave inversion problems.

February 2019 - present
Berkeley, USA

Research Scientist

University of Nevada, Reno

  • Apply Bayesian statistics on a network of atomic clock data from a constellation of 32 GPS satellites to estimate constraints on coupling constants and search for dark matter topological defects.
  • Do performance benchmarking of covariance matrix inversion using LU, Cholesky and SVD decomposition from LAPACK library.
  • Perform theoretical approximation of probability density function of the effective coupling strength. Write Monte Carlo simulations in C++ to evaluate the detection probability of weak dark matter transient events.

August 2018 - February 2019
Reno, USA

Visiting Research Scientist

Helmholtz Institute Mainz, Johannes Gutenberg University

  • Maintain JupyterHub server and data storage facilities.
  • Build joint excess-power and coincidence analysis package to look for cross-correlated transient signals from multiple time-series magnetic field data streams.

September 2017
Mainz, Germany

Research Scientist

University of California, Berkeley

  • Data analysis coordinator of the GNOME (Global Network of Optical Magnetometers for Exotic physics searches) international collaboration.
  • Maintain and optimize the sensitivity of two nonlinear magneto-optical rotation (NMOR) atomic magnetomers which are part of the GNOME network.
  • Extensive use of wavelet transform analysis to explore the magnetic pulse of cities.

July 2016 - August 2018
Berkeley, USA

Visiting Research Scientist

University of California, Berkeley

  • Learn about atomic clocks and non-linear magneto-optical rotation (NMOR) atomic magnetometers.
  • Analyze astrophysical and laboratory measurements of the fine-structure constant.
  • Introduce time-frequency analysis of noisy data streams from table-top experiments for weak transient signal detection.

July 2015 - February 2016
Berkeley, USA

Visiting Research Scientist

Institute of Theoretical Astrophysics, University of Oslo

  • Develop a pattern recognition algorithm to identify Lyman-limit regions in quasar spectra.
  • Measure the primordial abundance of deuterium in the Universe using quasar spectroscopy.
  • Create SQL database of raw and processed astronomical data to be used among the collaboration.

June 2014
Oslo, Norway

Postgraduate Researcher

University of New South Wales

  • Study the impact of wavelength distortion models on fine-structure constant measurements.
  • Do non-linear Voigt profile fitting of complex absorption features in quasar spectra.
  • Use high-performance computing facility to do intensive simulations and calculations.
  • Apply genetic algorithm and multi-threading techniques to do automatic Voigt profile fitting.

June 2013 - July 2016
Sydney, Australia

Postgraduate Researcher

University of Chile

  • Write elaborated Python scripts to do astronomical data reduction and calibration.
  • Build tools in IDL to help visualising high-resolution spectra.
  • Create a feature-matching algorithm to automatically identify quasar absorption line systems.

March 2010 - March 2012
Santiago, Chile

Research Assistant

European Organization for Nuclear Research

  • Improve sections of the SpartyJet jet-energy calibration software.
  • Perform Monte Carlo simulations of high-energy particle collisions using C++ and Python.
  • Use the ROOT framework to do statistical analysis and data visualisation of large dataset.

June 2009 - September 2009
Geneva, Switzerland

Research Assistant

Centre National de la Recherche Scientifique

  • Create a compression algorithm in C++ for turbulence data in the GReC experiment (Grands Reynolds Cryogéniques).

October 2008 - April 2009
Grenoble, France


Left to right: Université Grenoble Alpes Campus (Source: IAE) - Observatorio Cerro Calán, Universidad de Chile (Source: DAS/CATA) - University of New South Wales, Kensington Campus (Source: UNSW)

University of New South Wales

Ph.D. in Astrophysics

Under the guidance of Prof. John Webb

Abstract: Quasar absorption lines are used extensively in astrophysics to place constraints on cosmological models. In this thesis, we focus on the measurement of two important parameters in cosmology, the electromagnetic coupling constant, or fine-structure constant, α≡e2/(4πεℏc), and the primordial deuterium-to-hydrogen ratio, D/H. Any cosmological variation of α will cause its value to be different in the early stage of the Universe, therefore impacting the production of the primordial light elements during Big Bang Nucleosynthesis. We provide updated ∆α/α measurements from 280 absorption systems previously published in the literature using the non-linear least-square Voigt Profile fitting program VPFIT10. We also investigate the impact of long-range wavelength-scale distortions on those measurements. We found that long-range distortions are unlikely to explain the 4.1σ evidence for an α dipole as reported in the literature even though they do impact on the α-dipole significance. The above work led us to examine the kinematics of each absorption system in our sample. We report a correlation between the complexity of the velocity structure of Damped Lyman-α systems and the apparent position of the Lyman limit break in quasar spectra. We develop a new technique, based on this correlation, to identify suitable Damped Lyman-α systems for D/H measurements.

2013 - 2018
Sydney, Australia

Universidad de Chile

M.Sc. in Astronomy

Under the guidance of Prof. Sebastián López & Dr. Pasquier Noterdaeme

Abstract: According to the current theory of standard Big Bang nucleosynthesis, a measurement of the primordial deuterium-to-hydrogen ratio (D/H) can provide a strong constraint on the baryonic density in the universe. Indeed, D/H depends sensitively on Ωb, and can be thus considered as a “baryometer” of choice. However, because deuterium is easily destroyed inside stars, it is necessary to look for pristine gas (i.e. unprocessed by stars) to make a correct measurement of the primordial D/H ratio. To date, the only way to detect deuterium at high redshift (where the chance of finding pristine gas is higher) is through the absorption lines it imprints in the spectra of background quasars. However, this is observationally a challenging task and very few measurements have been performed so far. In this thesis, I present a systematic search for deuterium absorption lines in a large sample of high-resolution, high signal-to-noise ratio, archival spectra of quasars observed with the Ultraviolet and Visual Echelle Spectrograph mounted on the Very Large Telescope. New deuterium features have been performed and will be analyzed. I will also introduce a new python routine allowing the automatic selection and analysis of suitable candidates for the stacking method.

2010 - 2012
Santiago, Chile

Université Joseph Fourier

B.Sc. in Physics
Performance study and improvement of reconstruction algorithms for hadronic jets in ATLAS experiment

Under the guidance of Dr. Pierre-Antoine Delsart

2006 - 2009
Grenoble, France


NERSC Cray Cori supercomputer at Wang Hall located on the campus of Lawrence Berkeley National Laboratory (Credit: Berkeley Lab - Roy Kaltschmidt)

Programming Languages & Tools
  • Expertise in building deep learning neural network models
  • Develop Python libraries for coherent search of transient events in noisy data streams
  • Manage teams of scientists for quantitative analysis of experimental research data
  • Perform server-side operations and maintenance
  • Use High Performance Computing facilities: Raijin, OzStar, Lawrencium, Cori
  • Build MySQL Database Server
  • Maintain and optimize optically-pumped atomic magnetometers
  • Astronomical data reduction and absorption line fitting
  • Expertise in long-slit, high-resolution, and echellette spectroscopy
  • Monte Carlo Markov Chain simulations


Streaming scalogram of urban magnetometry data with maximum frequency of 10 mHz. Wavelet transformation is done on 1000 sections of 1-hour magnetic field data sampled at 1Hz. (Credit: Vincent Dumont)

Scientific Collaborations
  • Center for Computational Sciences and Engineering
    Efficient hyperparameter optimization of deep learning models through surrogate modeling.
    February 2021 - present

  • Scientific Data Management
    Build interpretable deep learning algorithms using statistical mechanics for geophysical research.
    February 2019 - February 2021

  • GPS.DM
    Search for dark matter topological defects using atomic clock data from a network of 32 GPS satellites.
    August 2018 - February 2019

  • GNOME Collaboration
    Search for axion dark matter domain walls from a network of atomic magnetometers.
    July 2016 - August 2018

  • Urban Magnetometry
    Maximal extraction of magnetic field information in urban environment.
    January 2016 - August 2018

  • Quasar Astronomy Research
    Fine-structure constants, long-range spectral distortions, primordial Deuterium abundances.
    July 2013 - July 2016

Open-Source Softwares
I am the lead developer and maintainer of the following Python packages. They are all available on the PyPI platform and can be easily installed using the pip command. If available, please use the Digital Object Identifier (DOI) reference to acknowledge the use of any of these programs in resulting publications. The DOI reference can be found in the documentation accessible via the links below:

Fine-structure constant measurements
and long-range wavelength-scale
distortion analysis package.
Data analysis software for systematic
search of exotic transient signals from
optical magnetometer network.

Highly-scalable hyperparameter optimization software using surrogate modeling and
uncertainty quantification.
Automatic detection of Lyman-limit
regions in both high and low resolution
quasar spectra.
Machine learning tools for analysis of
Distributed Acoustic Sensing data for
geophysical research.
Time-frequency and sensor network
analysis software for urban
magnetometry data.

Quasar spectrum scanner and first guess
Voigt profile modelling of quasar
absorption line sytems.

Data analysis tools for quasar
spectroscopy research.

Plotting program of quasar absorption
line systems in velocity scale with
individual Voigt profile component.

Scientific Publications

Photo Source: Pixabay
Journal articles
  1. Search for topological defect dark matter using the global network of optical magnetometers for exotic physics searches (GNOME)
    Afach, S.; Buchler, B. C.; Budker, D.; Dailey, C.; Derevianko, A.; Dumont, V., Figueroa, N. L.; Gerhardt, I.; Grujić, Z. D.; Guo, H.; Hao, C.; Hamilton, P. S.; Hedges, M.; Jackson Kimball, D. F.; Kim, D.; Khamis, S.; Kornack, T.; Lebedev, V.; Lu, Z-T.; Masia-Roig, H.; Monroy, M.; Padniuk, M.; Palm, C. A.; Park, S. Y.; Paul, K. V.; Penaflor, A.; Peng, X.; Pospelov, M.; Preston, R.; Pustelny, S.; Scholtes, T.; Segura, P. C.; Semertzidis, Y. K.; Sheng, D.; Shin, Y. C.; Smiga, J. A.; Stalnaker, J. E.; Sulai, I.; Tandon, D.; Wang, T.; Weis, A.; Wickenbrock, A.; Wilson, T.; Wu, T.; Wurm, D.; Xiao, W.; Yang, Y.; Yu, D.; Zhang, J.
    Accepted to Nature Physics on September 17, 2021


  2. Measuring the fine structure constant on a white dwarf surface; a detailed analysis of Fe V absorption in G191-B2B
    Hu, J.; Webb, J. K.; Ayres, T. R.; Bainbridge, M. B.; Barrow, J. D.; Barstow, M. A.; Berengut, J. C.; Carswell, R. F.; Dumont, V.; Dzuba, V.; Flambaum, V. V.; Lee, C. C.; Reindl, N.; Preval, S. P.; Tchang-Brillet, W.-Ü. L.
    Monthly Notices of the Royal Astronomical Society (23 October 2020), Volume 500, Issue 1, January 2021, Pages 1466–1475


  3. Analysis method for detecting topological defect dark matter with a global magnetometer network
    Masia-Roig, H.; Smiga, J. A.; Budker, D.; Dumont, V.; Grujic, Z.; Kim, D.; Jackson Kimball, D. F.; Lebedev, V.; Monroy, M.; Pustelny, S.; Scholtes, T.; Segura, P. C.; Semertzidis, Y. K.; Chang Shin, Y.; Stalnaker, J. E.; Sulai, I.; Weis, A.; Wickenbrock, A.
    Physics of the Dark Universe (May 2020), Volume 28, 100494


  4. Four direct measurements of the fine-structure constant 13 billion years ago
    Wilczynska, M. R.; Webb, J. K.; Bainbridge M.; Bosman, S. E. I.; Barrow, J. D.; Carswell, R. F.; Dabrowski, M. P.; Dumont, V.; Leite, A. C.; Lee, C.; Leszczynska, K.; Liske, J.; Marosek, K.; Martins, C. J.A.P.; Milakovic, D.; Molaro, P.; Pasquini, L.
    Science Advances (24 Apr 2020), Volume 6, No. 17, eaay9672


  5. A Network of Magnetometers for Multi-Scale Urban Science and Informatics
    Bowen, T.; Zhivun, E; Wickenbrock, A; Dumont, V.; Bale S. D.; Pankow C.; Dobler, G.; Wurtele, J.S.; Budker, D.
    Geosci. Instrum. Method. Data Syst., (8 May 2019), Volume 8, Issue 1, Pages 129-138


  6. Characterization of the Global Network of Optical Magnetometers to search for Exotic Physics (GNOME)
    Afach, S.; Budker, D.; DeCamp, G.; Dumont, V.; Grujić, Z. D.; Guo, H.; Jackson Kimball, D. F.; Kornack, T. W.; Lebedev, V.; Li, W.; Masia-Roig, H.; Nix, S.; Padniuk, M.; Palm, C. A.; Pankow, C.; Penaflor, A.; Peng, X.; Pustelny, S.; Scholtes, T.; Smiga, J. A.; Stalnaker, J. E.; Weis, A.; Wickenbrock, A.; Wurm, D.
    Physics of the Dark Universe (December 2018), Volume 22, Pages 162-180


  7. The primordial deuterium abundance at z=2.504 from a high signal-to-noise spectrum of Q1009+2956
    Zavarygin E. O.; Webb, J. K.; Dumont, V.; Riemer-Sørensen, S.
    Monthly Notices of the Royal Astronomical Society (21 April 2018), Volume 477, Issue 4, Pages 5536–5553


  8. Probing the Gravitational Dependence of the Fine-Structure Constant from Observations of White Dwarf Stars
    Bainbridge, M, B.; Barstow, M. A.; Reindl, N.; Tchang-Brillet, L.; Ayres, T. R.; Webb, John K.; Barrow, J. D.; Hu, J.-; Holberg, J. B.;
    Preval, S. P.; Ubachs, W.; Dzuba, V. A.; Flambaum, V. V.; Dumont, V.; Berengut, J. C
    Universe (30 March 2017), Volume 3, Issue 2, Page 32


  9. A precise deuterium abundance: Re-measurement of the z=3.572 absorption system towards the quasar PKS1937–101
    Riemer-Sørensen, S.; Kotuš, S.; Webb, J. K.; Ali, K.; Dumont, V.; Murphy, M. T.; Carswell, R.; Barrow, J.
    Monthly Notices of the Royal Astronomical Society (22 March 2017), Volume 468, Issue 3, Pages 3239–3250


  10. Modelling long-range wavelength distortions in quasar absorption echelle spectra
    Dumont, V. & Webb, J. K.
    Monthly Notices of the Royal Astronomical Society (14 February 2017), Volume 468, Issue 2, Pages 1568-1574
    Gitlab Colab


  11. A robust deuterium abundance; Re-measurement of the z=3.256 absorption system towards the quasar PKS1937-1009
    Riemer-Sørensen, S.; Webb, J. K.; Crighton, N.; Dumont, V.; Ali, K.; Kotuš, S.; Bainbridge, M.; Murphy, M. T.; Carswell, R.
    Monthly Notices of the Royal Astronomical Society (14 January 2015), Volume 447, Issue 3, Pages 2925- 2936


  12. Deuterium at high-redshift: Primordial abundance in the zabs = 2.621 damped Ly-alpha system towards CTQ247
    Noterdaeme, P.; López, S.; Dumont, V; Ledoux, C.; Molaro, P.; Petitjean, P.
    Astronomy & Astrophysics (8 June 2012), Volume 542, Article L33


Conference papers
  1. HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization
    Dumont, V.; Garner, C.; Trivedi, A.; Jones, C.; Ganapati, V.; Mueller, J.; Perciano, T.; Kiran, M.; Day, M.
    Accepted to Supercomputer "Machine Learning in HPC Environments" workshop on 25 September 2021
    Gitlab Colab

  2. Deep Learning on Real Geophysical Data: A Case Study for Distributed Acoustic Sensing Research
    Dumont, V.; Rodríguez Tribaldos, V.; Ajo-Franklin, J.; Wu, K.
    Accepted to NeurIPS "Machine Learning and the Physical Sciences" workshop on 30 October 2020

  3. Deep Learning for Surface Wave Identification in Distributed Acoustic Sensing Data
    Dumont, V.; Rodríguez Tribaldos, V.; Ajo-Franklin, J.; Wu, K.
    2020 IEEE International Conference on Big Data (Big Data), 10-13 Dec. 2020
    Gitlab Colab


  4. Primordial deuterium abundance at z=2.504 towards Q1009+2956
    Zavarygin E. O.; Webb, J. K.; Riemer-Sørensen, S; Dumont, V..
    Journal of Physics: Conference Series (1 June 2018), Volume 1038, International Conference PhysicA.SPb/2017 24–26 October 2017, Saint-Petersburg, Russian Federation


Other contributions
  1. Combining Ambient Noise and Distributed Acoustic Sensing (DAS) Deployed on Dark Fiber Networks for High-resolution Imaging at the Basin Scale
    Rodríguez Tribaldos, V.; Lindsey, N.; Dou, S.; Ulrich, C.; Robertson, M.; Dong, B.; Dumont, V.; Wu, K.; Monga, I.; Tracy, C.; Ajo-Franklin, J.
    American Geophysical Union, Fall Meeting 2020

  2. Progress in dark matter search with the global positioning system
    Dailey, C.; Roberts, B.; Dumont, V.; Khan, I.; Panelli, G; Blewitt, G.; Derevianko, A.
    Bulletin of the American Physical Society, (14 April 2019), APS April Meeting 2019, Volume 64, Number 3

  3. Assessing the dependency of the fine structure constant on gravity using hot DA white dwarfs
    Barstow, M.; Ayres, T. R.; Bainbridge, M.; Barrow, J.; Berengut, J.; Burleigh, M.; Casewell, S.; Dapra, M.; Dougan, D.; Dumont, V.; Dzuba, V.; Flambaum, V.; Hu, J.; Holberg, J. B.; Joyce, S.; Nave, G.; Preval, S.; Reindl, N.; Salumbides, E.; Ubachs, W.; Webb, . K.
    HST Proposal. Cycle 24, ID. #14791, June 2016

  4. Impact of long-range wavelength-scale distortion on fine-structure constant measurements
    Dumont, V.; Webb, J. K.
    International Astronomy Union, General Assembly, (August 2015), Meeting #29, id.2251301

  5. Australia in the era of global astronomy: The decadal plan for Australian astronomy 2016–2025
    Member of Working Group 1.1 - Galaxies and Cosmology
    Australian Academy of Science (July 2015)


Left to right, top to bottom: Australia Institute of Physics Industry Day (Sydney, 2013), Astronomical Society of Australia Annual Scientific Meeting (Sydney, 2014), Women in Astronomy Workshop (Sydney 2014), AusGO/AAO Observational Techniques Workshop (Sydney, 2014), Astroinformatics (Sydney, 2013), GNOME Data Analysis Bootcamp (Evanston, 2016), 5th Workshop on Optically-Pumped Magnetometers (Fribourg, 2017), Deep Learning for Science Summer School (Berkeley, 2019)

  1. International Conference for High Performance Computing, Networking, Storage, and Analysis
    America's Center, St. Louis, USA (attended remotely)
    November 14-19, 2021

  2. DAS Research Coordination Network: ML working group
    Taking place virtually
    September 16, 2021

  3. SciDAC-4: HEP Data Analytics on HPC
    Taking place virtually
    July 2, 2021

  4. DESI Collaboration Seminar
    Taking place virtually
    January 20, 2021

  5. LBNL/CCSE Group Seminar
    Taking place virtually
    January 7, 2021

  6. IEEE International Conference on Big Data
    Taking place virtually
    December 10-13, 2020

  7. LBNL/SDM Group Seminar
    Taking place virtually
    December 7, 2020

  8. NeurIPS | Machine Learning and the Physical Sciences Workshop
    Taking place virtually
    December 6-12, 2020

  9. Frontiers in Machine Learning for the Physical Sciences
    Taking place virtually
    October 26, 2020

  10. Conference on Data Analysis (CoDA)
    Eldorado Hotel, Santa Fe, USA
    February 25-27, 2020

  11. RISE Camp 2019
    International House, UC Berkeley, USA
    October 17-18, 2019

  12. PyTorch Developer Conference
    The Midway, San Francisco, USA
    October 10, 2019

  13. TechCrunch Disrupt SF
    Moscone Center, San Francisco, USA
    October 2-4, 2019

  14. Oracle OpenWorld
    Moscone Center, San Francisco, USA
    September 16-19, 2019

  15. AI for Science Town Hall
    Lawrence Berkeley National Laboratory, Berkeley, USA
    September 11-12, 2019

  16. Deep Learning for Science School
    Lawrence Berkeley National Laboratory, Berkeley, USA
    July 15-19, 2019

  17. GPUs for Science Day
    Lawrence Berkeley National Laboratory, Berkeley, USA
    July 2-3, 2019

  18. LBNL/SDM Group Seminar
    Lawrence Berkeley National Laboratory, Berkeley, USA
    January 11, 2019

  19. Intelligence Community Academic Research Symposium
    The National Academy of Sciences, Washington DC, USA
    September 25-27, 2018

  20. Data Science Workshop
    Garré Winery, Livermore, USA
    August 7-8, 2018

  21. Weekly Seminar
    Department of Physics, University of Reno, USA
    July 25, 2018

  22. Bay Area NSF Innovation Corps training
    Haas School of Business, UC Berkeley, USA
    July 16-23, 2018

  23. HIM Weekly Seminar
    Helmholtz-Institute Mainz, Johannes Gutenberg University of Mainz, Germany
    September 8, 2017

  24. 5th Workshop on Optically-Pumped Magnetometers (WOPM)
    University of Fribourg, Switzerland
    August 21-22, 2017

  25. GNOME Collaboration Annual Meeting
    University of Fribourg, Switzerland
    August 20, 2017

  26. BIDS Tea Seminar
    Berkeley Institute for Data Science, UC Berkeley, USA
    October 18, 2016

  27. Varying Constants and Fundamental Cosmology – VARCOSMOFUN’16
    Maritime University of Szczecin, Poland
    September 12-17, 2016

  28. GNOME Collaboration Data Analysis Bootcamp
    Northwestern University, Evanston, USA
    August 17-19, 2016

  29. Astronomical Society of Australia (ASA) Annual Meeting
    The University of Sydney, Sydney, Australia
    July 3-8, 2016

  30. SPIE Photonics West
    Moscone Center, San Francisco, USA
    February 13-18, 2016

  31. Oracle OpenWorld
    Moscone Center, San Francisco, USA
    October 25-29, 2015

  32. Guest Seminar
    University of the Pacific, Stockton, USA
    October 13, 2015

  33. International Astronomical Union, XXIX General Assembly
    Hawaii Convention Center, Honolulu, Hawaii, USA
    August 3-14, 2015

  34. AIP Postgraduate Award Competition
    University of New South Wales, Sydney, Australia
    October 9, 2014

  35. Women in Astronomy Workshop
    Macquarie University, Sydney, Australia
    August 28-29, 2014

  36. Astronomical Society of Australia (ASA) Annual Meeting
    Macquarie University, Sydney, Australia
    July 20-25, 2014

  37. ITA Weekly Seminar
    Institute of Theoretical Astrophysics, University of Oslo, Norway
    June 10, 2014

  38. AusGO/AAO Observational Techniques Workshop
    Australian Astronomical Observatory (AAO) Headquarters, North Ryde, Sydney, Australia
    April 1-4, 2014

  39. Decadal Plan for Australian Astronomy Town Hall - Galaxies and Cosmology Working Group
    Australian Astronomical Observatory (AAO) Headquarters, North Ryde, Sydney, Australia
    March 17, 2014

  40. Astroinformatics 2013: Knowledge from Data
    CSIRO Astronomy and Space Science (CASS) Headquarters, Marsfield, Sydney, Australia
    December 9-13, 2013

  41. Australia Institute of Physics (AIP) Industry Day
    Australian Institute of Physics NSW Branch, Lindfield Site, Sydney, Australia
    November 11, 2013

  42. FunnelWeb Workshop
    University of New South Wales, Sydney, Australia
    August 7, 2013

  43. Astronomical Society of Australia (ASA) Annual Meeting
    Monash University, Melbourne, Australia
    July 7-12, 2013

  44. Astronomical Society of Australia (ASA) Harley Wood Winter School
    Newhaven Hall, Phillip Island, Australia
    July 4-7, 2013

  45. IAU XIII Latin American Regional Meeting
    Centro de Convenciones y Exposiciones, Morélia, Mexico
    November 8-12, 2010

  46. Weekly Journal Club
    Department of Astronomy, University of Chile, Santiago, Chile
    July 13, 2010

  47. Workshop Metaphysics of Science
    Pierre Mendès-France University, Grenoble, France
    December 1-2, 2008


Apart from being an avid pianist and hiker, I also enjoy photography a lot. Below are some of my most favorite pictures taken over the years. I am currently using a Nikon D7200 camera with a Nikon AF-S DX NIKKOR 18-140mm f/3.5-5.6G ED VR lens. That being said, I really like how pictures are rendered with the iPhone X although I'm also starting to become an even bigger fan of the camera performance from the Samsung Galaxy.


One of my main passions in life is traveling and exploring different cultures and societies. I started traveling fairly late, after getting a scholarship to do my Master's in Chile. This was a dream come true and the first time I was leaving my family to go and live at the end of the world, as Chilean like to call their land. I stayed there for over two years and got to explore South America and its culture. This gave me a taste for discovering new places around the world and I haven't stopped doing just that since then. Every stay has been for me an opportunity to experience different standards of living and have a deeper appreciation for the social, economic and environmental issues faced by each society. I also truly believe that engaging in the challenges some communities might have and taking lessons from the solutions they may come up with could solve decade-long problems in other regions of the world. Sometimes, there is no need to look for a solution, sometimes the only thing we need is to look out the window and see what others do... Below is a world map showing all the flights I took around the world over the last decade (code available here). It has been an amazing journey so far!