When Geoscience Meets Machine Learning


A Story of Alin Sharina Dwi Yampy, Bangkit 2022 Student from Universitas Cendrawasih
“Over the last decade, there has been considerable progress in developing ML-based methodologies for many Earth Science applications.”
(David J. Lary, Physics Professor at the University of Texas at Dallas, 2010)

Applying ML to one of the earth sciences―Geoscience―is the dream of Papua-born Alin Sharina Dwi Yampy (22). This Geophysics Student at Universitas Cendrawasih hopes that one day, her ML skill can advance the sustainable natural resources management of her homeland, Papua.

Maintain Connection with Fellow Female Geoscience Students and Learn Machine Learning


Alin―what she’s called―is taking part in the Society of Exploration Geophysicists (SEG), a global non-profit organization with a mission of connecting the world of applied geophysics based in Houston, USA. She plays a vital role in SEG’s female student community in Indonesia, namely SEG Women’s Network Indonesia (SEGWN Indonesia). In SEGWN Indonesia, Alin is in charge of social media.
“I’m interested in joining SEGWN Indonesia because I know that there are only a few women in geoscience. Therefore, by participating in this organization, we can connect and support each other.”
Apart from maintaining connections with fellow female geoscience students, Alin also desires to learn more about ML for her future. She knew that in the world of geophysics, ML can be used for many things, one of which is to estimate earth faults or other rock properties. So, once Alin graduates from college one day, she wants to acquire knowledge about geophysics and seismic and ML skills that are highly regarded as additional value.

Learning ML in Bangkit for the Future of Papua’s Natural Resources


Born and raised in Papua, Alin sees that her homeland has a wealth of potential for its natural resources. Unfortunately, Alin feels these natural resources have not been explored very well. So, in her opinion, using ML can help scientists explore natural resources there.
“One day, I want to contribute to natural resource management in Papua, where I can apply my ML skills. That’s why I’m interested in learning in Bangkit and getting deeper into ML.”
Alin feels that the process of deepening ML materials for six months in Bangkit is auspicious. For Alin, Bangkit looks different from other Bootcamp programs that last for short days, where the material doesn't parse well. Presented by Google, Alin sees that Bangkit has a well-structured learning material about her desired learning path.


By joining Bangkit, Alin hopes she can achieve sufficient ability in ML to help her reach all her goals in the future. She also expects that her capstone project will help her gain more knowledge about the application of ML. More practice and getting out into the field are two more important things for Alin than just understanding theories. Alin hopes Bangkit can give her those opportunities.
“Keep your spirits up until the end of Bangkit, and let's graduate together for a better future in Indonesian technology!”

Alin wants to go through the learning process in Bangkit with her cohorts. Besides graduating with her peers, Alin wishes for good skills in ML to apply her knowledge to the seismic field. Moreover, becoming a female geoscientist with ML expertise is something Alin wants to achieve to advance her homeland's natural resources.

How about you? What dreams keep you making positive progress in Bangkit?

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