the team
Allison Yin/AP Images for HHMI
Principal Investigator
Moisés (Moi) Expósito-Alonso , PhD
(he/him/él)
(2024-on)Assistant Professor of Global Change Biology, Department of Integrative BIology, University of California BerkeleyFreeman Hrabowski Scholar, Howard Hugues Medical Institutes (HHMI)Member of the Innovative Genomics Institute
(2019-2023)Staff Associate, Depts. of Plant Biology and Global Ecology, Carnegie Institution for Science,Assistant Professor (by courtesy) of Biology, Dept. of Biology, Stanford University
Moi aims to mentor creative scientists that apply ecology, evolution, and genetics principles to understand nature and its relationship with climate
@MExpositoAlonso
moi@moilab.science moiexpositoalonso@berkeley.edu
Moi's Google ScholarMoi's CV
https://www.hhmi.org/scientists/moises-exposito-alonso https://ib.berkeley.edu/people/faculty/moi-exposito-alonso
Megan is interested in using machine learning algorithms to understand selection across plant genomes in response to stress.
@MeganRRuffleymruffley@carnegiescience.edu Megan's Google Scholar
Ken studies hybrid incompatibilities using computational and field-based techniques.
@Apex_Herbivorekthompson@carnegiescience.eduthomp579@stanford.eduKen's Google Scholar
Meixi aims to develop ways to track genetic health of ecosystems with geo-tagged genomes and real-time satellite information.
meixilin@berkeley.edu mlin@carnegiescience.edu Meixi's Google Scholar
Xing Wu, PhD
Postdoc, Stanford CEHG Fellow '24Xing is interested in developing polygenic methods to understand complex adaptive architectures in plants.
xingwu@berkeley.edu xwu@carnegiescience.edu Xing's Google Scholar
Postdoc (co-advised by Phil Cleves)
Oliver is interested in meta-analyzing coral genomic resources to find a common genetic architecture of bleaching resistance across acroporid corals.
selmoni@berkeley.edu
Lauren aims to develop deep learning methods for biodiversity modeling to understand both better.
@leg2015gillespl@stanford.edu gillespl@berkeley.edulgillespie@carnegiescience.edu Lauren's academic websiteLauren's Google Scholar
Laura aims to investigate the spatial and temporal structure in plant populations and how these inform adaptations to climate change.
@laura_leventhallleventh@stanford.edulleventhal@berkeley.edu lleventhal@carnegiescience.edu
Tati aims to understand the predictability of evolution using population genetics theory and techniques.
tbellg@berkeley.edutbellag@stanford.edu tbellagio@carnegiescience.edu
Kristy Mualim
PhD Student in Biology | Ecology & EvolutionKristy works to apply machine learning models to genomics data and is now incredibly excited to start applying them to plants to understand their adaptability to climate change.
@ksmualimkmualim@berkeley.edukmualim@stanford.edu kmualim@carnegiescience.edu Kristy's Google Scholar
Emily Koke
Research Assistant | B.S. in Biochemistry & Eco. Evo. Biology, C.U. BoulderEmily is interested in using field experiments and molecular biology to understand the adaptability of plants in response to climate change
ekoke@berkeley.edu
Benjamin Jin
Research Associate | B.S. in Biology, Stanford University | he/him/they/themBen is interested in the molecular biology/genetics that underlie complex traits in plants, and how such traits could be relevant to adaptations within a changing environment.
benjaminjin@berkeley.edu
Andy Huynh
Research Assistant | B.S. in Computer Science, Stanford UniversityAndy is interested in developing machine learning tools for ecological and conservation science. He will pursue a co-term in CS this upcoming year.
avhuynh@stanford.edu
Elena Sierra
Research Assistant | B.S. in Electrical Engineering, focus in Information Systems & Science, Stanford UniversityElena is interested in developing machine learning models for sustainability efforts, focusing on biodiversity monitoring. She will pursues a co-term in Computer Science with a focus in Artificial Intelligence this upcoming year.
esierra@stanford.eduesierra@cs.stanford.edu esierra@carnegiescience.edu
Alysa Phillips
Incoming Postdoc
Jinseul Kyung
Incoming PostdocRuth Epstein
Incoming Postdoc
MOA 🦤
Liquid handling robotMOA is interested in processing large amounts of DNA/RNA samples and likes to be very organized about it.
You?
Link to Ad and application portal
You?
https://www.nature.com/naturecareers/job/12814220/research-technician-ii-exposito-alonso-lab/
You?
We are always searching for talented and creative researchers, and are happy to develop together ideas for a competitive fellowship.
Gloria, Milagros, Bielefelda, Princess, Josefa la morena Cuervo
Lab friends experts in herbivory experiments and random Markov walks.
For more information on opportunities to join our lab, see the subpage Join us! and submit your interest via this form:
alumni
Lucas Czech - Postdoctoral Scholar - Now Postdoctoral Scholar at GeoGenetics center in Copenhagen
Salim Soltani - Visiting Graduate Student
Diego Rafael Perez - Undergraduate Research Assistant - undergrad at Stanford
Nicolas Camacho - Research Assistant - Graduated Stanford
Mali Esfahanian, PhD - Research Associate (Postdoc level scientist) - Now Senior Scientist at Cquesta, CA.
Norzin Tenzin - Biology PhD student rotating 2023 - now RAISE Graduate Student at Stanford University
Ethan Gurwitch - Summer intern 2023 - now undergraduate at Duke University
Oliver Bossdorf, PhD - Sabbatical Professor 2023
Seba Toro Arana - Biology PhD student 2021-2023 - now PhD student in the Dinneny Lab at Stanford University.
Kaiku Kaholoaa - Hopkins Marine station PhD student rotating 2022-2023 - now PhD student in the Palumbi Lab at Stanford University.
Zouberou Sayibou - Undegraduate Research Assistant 2022-2023 - now pursuing M.S. in Computer Science at Stanford
Keegan Pham - Research Assistant 2022-2023 - now plant transgenic specialist at BioDrive
Tenzing Kalsang - Undergraduate Research Assistant 2023 - now undergraduate at Stanford
Shannon Hateley, PhD - Postdoc 2020-2023 - Now computational biologist at Google X, CA
Kelly Huang - Undergraduate Research Assistant 2022 - now undergraduate at Stanford
Marlot Westera - Master Student 2021-2022 - now PhD student at Amsterdam University, NL
Clara Kieschnick - Undergraduate Research Assistant 2020-2022
Katie Baker - Undergraduate Research Assistant 2022 - now undergraduate at Stanford
Christie Patel - Summer Intern 2022 - now undergraduate in Cambridge University, UK
Ru Peng - Research Assistant 2019-2022, now PhD student at Washington University, St.Louis, US
Matt Gill - Genetics PhD student rotating Spring 22, now PhD Student in Bhatt lab at Stanford University School of Medicine
Erin Zess, PhD - Postdoc 2021, now group leader in Benson Hill, Missouri, US
Jennifer Serrano Rojas - Biology PhD student rotating Summer 21, now PhD student in the O'Connell Lab at Stanford
Alanna Pyke - Genetics PhD student rotating Fall 20, now PhD student in the Sherlock Lab at Stanford
Eva Sehr - Bioinformatics Master student, FH Campus Wien 2019-2020, now scientist at Austrian Institute of Technology, Austria
Andrea Ramirez - Biology PhD student rotating Winter 20, now PhD student in the Dinneny Lab at Stanford
Veronica Pagowski - Biology PhD student rotating Fall 19-Spring20, now PhD student in the Lowe Lab at Stanford
Some cute pictures of the lab! our timeline
Fall 2019 Moi with Ru Peng, the first lab member and first Illumina kits for sequencing ;)
Dec 2020 MOILAB winter party (of course in ZoomLand!)
Summer 2021 first MOILAB retreat!
Spring 2022
Summer 2022 (with Kristy, Oliver and Megan photoshoped, you cannot tell right? 🤣)
Summer 2023 lab retreat in Yosemite (with Megan and Xing missing!)