Gereltuya Bayanmunkh believes that we, the people of this technological era, must be life-long learners to stay competitive in our chosen fields. Gereltuya is passionate about remote-working, machine learning, maker culture and blogging.
Co-founder
Green Dot Climate NGO, Green Dot Climate LLC, Climate Change AI LLC
2020 — present 🔗
Since 2020, along with her co-founder Irene, Gereltuya founded a series of climate-action-focused enterprises. They create science-backed climate change content, and develop technological solutions for sustained climate action. They also build youth-led communities, campaign for impactful climate policies, and form partnerships to push Mongolia towards a net-zero future.
Race to Zero Youth Fellow
Climate Champions Team
2024 — present 🔗
In June 2024, Gereltuya joined the Climate Champions Team as a Race to Zero Youth Fellow, alongside six other youth climate leaders from around the world. She supports the Race to Zero campaign, the world's largest coalition of non-state actors working to halve global emissions by 2030, with over 14,500 members. Since joining, she has developed a data app for entity matching across campaigns, a web app for partners to update membership data, and is now collecting emissions reduction data from net-zero entities while integrating Green Demand initiatives with Race to Zero.
Co-founder
Garage: No-Code / Low-Code x AI Community
2023 — present 🔗
With the aim of introducing and spreading the skills and culture of indie makers to emerging markets like Mongolia, Gereltuya, along with her co-founders Ariunzaya and Irene, co-founded Garage, a no-code/low-code x AI community in 2023. Since its founding, the team has launched several initiatives, including Made in Garage program, Maker Stories content series, and Makers Gonna Make challenge.
AI engineer
TomYo EdTech LLC
2020 — 2021 🔗
Joining TomYo, an edtech startup, as an AI engineer, Gereltuya contributed to the TomYo mobile app by introducing a version of adaptive language assessment model. She also held the Business Intelligence lead position briefly before recently pivoting to become a Product manager at TomYo.
R&D engineer
Dentsu Data Artist Mongol LLC
2019 — 2020 🔗
Gereltuya functioned as a Project Leader for one data engineering project and led the company innovation team of nine for six months. She focused her R&D efforts on using latest advances in NLP such as Transformer and BERT to solve real-world problems.
Web developer
A Plus International. LLC
2018 — 2019 🔗
While at A Plus, an edtech startup, Gereltuya contributed to the web development on the back-end by implementing online course aggregator and course catalog on Python/Django codebase.
Student researcher
Open Laboratory of Computer Graphics and Multimedia Technology, National University of Mongolia
2015 — 2017 🔗
Gereltuya worked on the Virtual Museum project for The Fine Arts Zanabazar Museum while at the CG-MLab, a research lab led by Ph.Dr. Enkhbayar Altantsetseg. She worked on partial scans with multiple point cloud data to construct 3D models on "C++"-based stack.
Research assistant to Sc.Dr. Tumurbat Sodnomkhorloo
National University of Mongolia
2015 — 2017 🔗
While working as a research assistant to Prof. Sc.Dr. Tumurbat Sodnomkhorloo, Gereltuya oversaw communications with foreign journals and organization of papers and manuscripts.
One Young World Belfast Ambassador
Worldwide
2023 — ongoing 🔗
Gereltuya spoke at the Climate Emergency plenary session of the One Young World 2023 Summit in Belfast, Northern Ireland, UK, representing her country, her team at Green Dot Climate, and her ancestors who lived as nomadic herders for centuries in Mongolia.
Terra.do Climate Change: Learning for Action Fellow
Worldwide
2023 — ongoing 🔗
Gereltuya has joined the Terra.do LFA fellowship program as one of the Bison cohort fellow. She is learning about climate science, climate change communications, and most importantly, climate action.
ACM SIGGRAPH member and Student volunteer
USA
2017 — 2017 🔗
As referenced by her research laboratory leader Ph.Dr. Enkhbayar, Gereltuya served as a student volunteer for the SIGGRAPH 2017. The conference was held in Los Angeles, CA, USA in August, 2017.
Jenesys2.0 Student participant
Japan
2016 — 2016 🔗
Gereltuya has been a selected participant of the Jenesys2.0, a cultural and scientific exchange program organized by Japanese government. The program took place across Tokyo, Nagasaki prefecture, Fukuoka prefecture and Nagano prefecture of Japan in February, 2016.
Student member of the Silk-road Universities Network
South Korea
2015 — 2016 🔗
Gereltuya has been the student representative of the National University of Mongolia for the Silk-road Universities Network and she attended the first general assembly meeting in Gyeongju, South Korea in August, 2015.
IISD-Next Sustainability Certificate
International Institute for Sustainable Development
September, 2023 — March, 2024 🔗
The IISD-Next Sustainability Certificate Program consists of four interactive workshops on Policy Engagement, Sustainable Development Goals, Water, and Green Economies. The series is delivered by Emily Kroft, IISD's Youth Engagement Coordinator.
Summer school virtual participant
Climate Change AI
June, 2023 — July, 2023
The Climate Change AI summer school is designed to educate and prepare participants with a background in artificial intelligence (AI) and/or a background in a climate change-related field to tackle major climate problems using AI. Gereltuya joined the summer school as a virtual participant in June, 2023.
M.Sc., Artificial Intelligence and Big Data Science
Saint Petersburg State University
September, 2022 — June, 2023 🔗
Gereltuya currently is enrolled to the graduate program in Artificial Intelligence and Big Data Science at the Saint Petersburg State University. Her academic objective is to specialize in using AI and big data techniques to fields such as climate tech and public health tech that require interdisciplinary innovation in action. As of 2024, she is on an academic leave.
ICLR 2023 "Tackling Climate Change with Machine Learning" workshop mentorship program mentee
Climate Change AI
January, 2023 — February, 2023 🔗
Gereltuya participated in the interdisciplinary mentorship program with her project to extract ML and DL methods and their use cases continuously from AI papers, extract specific climate action tasks from countries NDC's, and connect applicable pairs together in a real-time manner.
B.Sc., Mathematics
National University of Mongolia
September, 2014 — June, 2019 🔗
Gereltuya graduated the university with Mathematics as major and Computer Science as minor background, studying Computer Science basics for two years prior to studying Mathematics. With "A solution to a simple case of Cake-cutting problem", she participated in the student research conference of the university under the supervision of Ph.Dr. Uuganbaatar Ninjbat in 2015.
Participant and Student Project Prize Winner
Deep Learning UB Summer School
June, 2018 — July, 2018 🔗
Gereltuya successfully completed DLUB 2018, a summer school aimed to introduce Deep Learning basic concepts and some use-cases to Mongolian students and young professionals. The summer school was held at the Institute of Mathematics, National University of Mongolia. Gereltuya, with Yanjinlkham, has participated in the student project competition and has won the sponsor prize by the Dentsu Data Artist Mongol LLC.
Student Participant
MIT Global Startup Labs Mongolia
June, 2016 — August, 2016 🔗
MIT Global Startup Labs Mongolia was MIT-Mongolia initiative’s pilot program, a summer-long intensive coding and entrepreneurship bootcamp for rising technology entrepreneurs. Gereltuya successfully participated the bootcamp, pitching a city-based service-recommendation mobile application named Khot at the Demo Day.
Local Participant and Student Volunteer
Stochastic Processes and Applications Mongolia
June, 2015 — August, 2015 🔗
Stochastic Processes and Applications Mongolia 2015 was a two-week-long CIMPA-DAAD Research School held at the National University of Mongolia. The research school was preceded by an IMU-funded Pre-school focused on the measure-theoretic probability theory. Gereltuya successfully finished the three-week-long pre-school course taught by Ass. Prof. Friedrich Hubalek, TU Wien. Gereltuya participated in the research school both as a local participant and a student volunteer.
Machine learning
Deep learning
NLP (BERT/Transformer)
Deep Reinforcement learning
Data analysis
Data engineering
Python
SQL
Excel
Tensorflow
PyTorch
Django
HTML/CSS/JS
GCP
AWS
Git
Linux
Streamlit
Softr
A list of references is available upon request.