Welcome @fuganti @Partha @Sherlyn.zxq @SpaceKimchi @Trishna_22 and @Nour 
Make sure to spend time looking at all the data and tools to come up with new investigations. Looking at previous studies is quite useful too.
Previous work: NASA OSDR-GeneLab Enabled Publications, Pre-Prints, Student Theses - Google Scholar
Data dashboard (at a glance): NASA OSDR Biological Data and Visualization Portal
Search portal: NASA OSDR: Open Science for Life in Space
BioData API: https://visualization.osdr.nasa.gov/biodata/api/
Our code on GitHub: OpenScienceDataRepo · GitHub
These and all quick links to data/tools/APIs, etc are here: About - Open Science Data Repository Analysis Working Groups
A few pointers for where to start:
@fuganti you asked exactly the right question about the APIs. Start with the BioData API and the GitHub repos above. Your time-series and Digital Twins background fits well in AIMLawg, @jgong has led a subgroup on this project for sometime (and here are two recent preprints from them (https://doi.org/10.64898/2026.06.09.730965 ; https://doi.org/10.64898/2026.04.22.720210)
@Partha with the ARSET remote sensing and hyperspectral training, you have two places to get involed. In PlantAWG contact @dr.richard.barker and @Rachelcrivero. Also take a look at the new RegolithAWG with @borjabarbero and @lunar_long-fox, since crops and regolith intersect directly with what you trained on. The Environmental Data App is worth browsing too for the cabin conditions plants actually experience on orbit. Iirc, there are 4 plant-related environmental telemtry datasets
@Sherlyn.zxq no problem not having a focus yet, that is what the first few months are for. Its a marathon, not a sprint. Start with the training courses and browse the dashboard until something grabs you, then bring a question to the AIMLawg meeting.
@SpaceKimchi chromatin and gene regulation under stress is perfect. Lots more R&D is needed on this. Search the dashboard or portal for the Arabidopsis spaceflight studies and filter on the methylation and epigenetics assays. The BioData API serves standardized differential methylation and differential expression files, so you can pull them straight into R. PlantAWG and MultiOmicsAWG both meet monthly, so reach out to @dr.richard.barker and @jessicadurbano. No rush finding your way around, plenty of people here started the same way.
@Trishna_22 start with the training courses, they are built for exactly where you are, then have a look at the API and GitHub links. AIMLawg is your group, and on the human spaceflight side keep an eye on the new SpaceEpiAWG led by @robert.j.reynolds-2 and @holquistkl. @Matthew_Murphy can also help answer questions for the SpaceEpidemiology group
@Nour RNA-seq and plant-microbe interactions line up well. OSDR hosts processed RNA-seq counts and differential expression tables you can work with right away, and GL4U walks through the pipeline end to end. Alongside MultiOmicsAWG take a look at MicrobesAWG with @daniela.bezdan and @jaume.puig.
All of you, pick a project from the master table and get to your monthly meeting on the calendar (log in first).
Cheers,
-Ryan