Introducing Jielai Zhang

During her PhD at the University of Toronto, Jielai (@zhangjielai) helped build the Dragonfly Telephoto Array, the world’s best telescope for low surface brightness observations of the Universe. She led the development of the image processing software for Dragonfly. The team, led by Prof. Roberto
Abraham and Prof. Pieter van Dokkum, discovered a new class of galaxies called ultra-diffuse galaxies, a subset of which has been shown to be strangely devoid of dark matter.  Jielai also led studies of galaxy disks and dust in the Milky Way, co-supervised by Prof. Peter Martin.

For her first postdoc, Jielai is pivoting to medical imaging on a Schmidt Science Fellowship. She is in Prof. Alison Noble’s group working on applications of deep learning for fetal health monitoring. Her goal is to produce atlases of the developing fetal brain using 3D ultrasound data for fetuses affected by congenital heart disease or were born small for their gestational age. She will also use routine fetal ultrasound videos and related multi-modal data to explore the systematic improvement of clinical image recording.

Equipped with new image analysis and deep learning techniques, Jielai will move to Australia in late 2019 to uncover the mysteries of how the Universe changes second to second.

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Re-introducing Gautham Narayan

I’m Gautham Narayan (@gsnarayan). I study supernovae and other things that go bump in the night. I work on identifying and classifying them very early with machine learning, understanding their progenitor systems, finding the electromagnetic counterparts of gravitational wave sources, calibrating their brightness and using them to constrain the nature of dark energy, and I’m studying the interplay between these stellar deaths and their environments. I’m currently the Lasker Data Science Fellow at the Space Telescope Science Institute (@stsci), and I’m particularly excited to talk exploding stars with you this week because we’ve got TWO awesome meetings about this field, so you’ll hear about the forefront of our field and meet some of the awesome people I work with! I grew up in India, the UK and Ireland, moved to Illinois Wesleyan for my undergraduate work, Harvard for my Ph.D., and the National Optical Astronomy Observatory for my postdoctoral work. I’m delighted to be moving to the University of Illinois this Fall. Aside from science, there may also be tweeting about the academic job search, baby owls, building the LEGO Millennium Falcon, re-watching Marvel movies, hiking outside Baltimore, and ranting about how my dog Kepler has stolen my dinner/place on the bed/heart.

Introducing Joshua Lothringer

I’m Joshua Lothringer (@JDLothringer). I’m a PhD candidate in my final semester at the Lunar and Planetary Laboratory at the University of Arizona. I did my undergrad in astronomy from the University of Colorado at Boulder where I worked at the Laboratory for Atmospheric and Space Physics operating several NASA spacecraft, including the Kepler space telescope and the Student Dust Counter on New Horizons. I also worked on the science team of the MAVEN mission to Mars. In the fall, I’ll be moving to Baltimore to postdoc at Johns Hopkins University and work with folks at the Space Telescope Science Institute (STScI).

My research has focused on studying exoplanet atmospheres. I’ve been lucky enough to observe and model exoplanet atmospheres. I’ve used observations from HST/STIS to study Neptune and sub-Neptune sized exoplanets, as well as done some ground-based observing work at MMT. I’ve also used the PHOENIX stellar atmosphere model to simulate the atmospheres of the hottest Jovian exoplanets.

Outside of my research time, I like to read (mostly sci-fi), play video games, watch sitcoms, play guitar, and walk by partner’s doge.

Introducing Sarah McIntyre

I’m Sarah McIntyre (@ExoBioExplorer) a PhD student at the Research School of Astronomy and Astrophysics at the Australian National University.

My current research aims to examine the effect that a diverse range of astronomical and planetary parameters have on an exoplanet’s ability to sustain liquid water. I spend most of my time working on exoplanet models and simulations and doing lab experiments. Long term research plans include helping determine optimal targets for near-future ground- and space-based observations of planetary atmospheres and the potential detection of life in space.

When not exploring exoplanets I read (lately mainly about AI/machine learning), compose, play piano (or violin) and travel.