Seiji's research is centered primarily around ALMA and JWST observations, of both lensed and unlensed galaxies. While at UT he has written seevral papers, including on ALMA observations of extremely high-redshift galaxies, NIRSpec spectroscopic confirmation of z~8-9 galaxies from CEERS, and NIRSpec followup of very high-redshift galaxies from UNCOVER.

Anthony recently joined us following his PhD at Wisconsin, where he studied Lyman alpha emitters. He is working on a variety of projects with JWST spectroscopy, presently focusing on searching for signatures of accreting super-massive black holes, and is also involved with many other projects around the group. He also leads the VIP undergraduate research group.

Vasily is one of two inaugurual Cosmic Frontier Center Prize Postdoctoral Fellows. His research covers many aspects of the early universe, from "little red dots", to some of the highest redshift galaxies.

Katherine's research focuses on massive galaxies at high redshift. Most recently she has showed that the abundnace of massive galaxies in CEERS is above predictions at z > 4. She shows that this can be explained by a star-formation efficiency which ~doubles between z=4 and z=7, and that there is no tension with LCDM. She is also working on quiescent galaxies at high-redshift in the SHELA field.

Oscar's main focus has been Lyman alpha emitting galaxies (LAEs). He has been using data from the HETDEX survey, as well as our own survey using HETDEX's VIRUS instrument in the North Ecliptic Pole field, to identify LAEs at z~2-3.5, and understand how their emergent Lyman-alpha emission depends on galaxy physical properties, with an aim to ultimately apply this to epoch of reionization studies.

Alexa's research focuses on the UV colors of early galaxies. She recently studied this in NGDEEP, finding that extremely high-redshift galaxies appear fairly blue, but not so blue that extremely metal-poor stars must be present. She is now expanding this study to include a wider variety of data.

Natalia is interested to understand how galaxy structure shapes their evolution. She is currently using machine-learning-enabled routines to study the spatially-resolved properties of early galaxies.

Ansh's focus is on supermassive black holes in the early universe. He seeks to understand how such objects form, and how they co-evolve with their host galaxies.