Closed MalikaChhibber closed 1 year ago
I am writing to express my keen interest in joining the Ersilia team and contributing to the development of the Ersilia Model Hub. Currently, I am pursuing my graduation from BITS Pilani.
As part of my academic thesis with MIT Media Labs, I have gained hands-on experience in working on AI/ML Models and implementing them. I am extremely enthusiastic about leveraging AI and ML to create a positive impact on society. Furthermore, I possess a strong understanding of Data structures and algorithms, Machine Learning, and Artificial Intelligence.
In my opinion, the Ersilia Model Hub has the potential to aggregate all the biomedical models, which would facilitate deploying and predicting with models. I fully endorse and support Ersilia's idea of providing data science tools to lower-income countries for infectious disease research, especially in the wake of the COVID-19 pandemic, which highlights the need for a global approach to combat such crises. I am eager to contribute my skills and knowledge to the Ersilia team.
Thank you for considering my application. I am looking forward to the opportunity.
I have been trying to join the communication channels on Slack, but it seems like the link has expired. I will be grateful if you can look into same.
I have encountered thus error while running Ersilia, kindly look into same sir.
Hi @MalikaChhibber , Check this https://github.com/ersilia-os/ersilia/issues/591
Hi @MalikaChhibber !
The Slack link is the one indicated in the Outreachy page, this one Can you let us know which system are you using?
Hi @MalikaChhibber
We (outreachy mentors) haven't seen much activity in the last days. Just a kind reminder that there are ~10 days left to complete the Outreachy contribution period. If you are still interested in applying, we encourage you to continue the work and report it here. We are also available on the Slack channel for further discussions. If you have decided not to apply to the internship with Ersilia, please close this issue to facilitate tracking of the active contributors to the mentors. Many thanks!
Week 1 - Get to know the community
Week 2 - Install and run an ML model
Week 3 - Propose new models
Week 4 - Prepare your final application