First, I think it's great that you want to go further in your academic work. It sounds like you're intelligent and hardworking, which are important attributes to be successful.
I'm going to start by answering your main question, then I'll give you some suggestions that hopefully will be useful to your goals.
If you were a ML/AI postdoc at top university, are you willing to remotely supervise any undergraduate？
It's very unlikely that a postdoc at a top university would be interested in remotely supervising an undergrad at another university.
The reasons for this are that postdocs tend to be extremely busy, poorly paid, and hyperfocused on their own research.
Now, a tenured professor with more time (or the need to carry out some kind of outreach work) might be a more likely candidate in terms of time and disposition, but the problem here is that professors at top universities have no shortage of undergraduates at their own schools.
What Should You Do Instead
I'm going to give you some suggestions here that will improve the likelihood of hitting your goals. Because again, you clearly have the drive and motivation, now you just need to work on some logistics.
1. Improve your spelling and grammar in formal situations.
Your writing style is excessively casual for someone reaching out about a potential research partnership. If I were a professor interested in remote mentoring, and I saw this question with statements like:
cuz i got no email response
I would not be inclined to reach out to you with an offer.
Note that this is different than how I feel about someone trying to write formally, but who is making the types of grammar and spelling mistakes common for those for whom English isn't their first language.
Most people will overlook the latter to some degree, but will frown at excessive casualness in formal communication.
2. Focus on Making Yourself Competitive for Graduate School
If you are interested in embarking on graduate-level research, you need to think now about how you can make yourself a competitive candidate for grad school.
This is going to mean improving your GPA, your writing skills, and thinking ahead to what kinds of programs you might wish to apply to.
3. Dig Deeper or Consider Transferring
If you are set on ML drug discovery undergraduate research, I suggest spending more time talking to professors at your current university about options. They are much more likely to help you than a remote professor or postdoc.
If nobody at your university is doing undergraduate research that you're interested in, consider transferring to a different undergrad program.
But I would make transferring a last resort and instead:
4. Recognize What Actually Matters To Future Grad Schools
Even if you can't find someone at your school doing ML-based drug discovery, doing any kind of mentored undergraduate research project is going to be a benefit when you later apply to grad school.
Grad school admissions committees typically aren't looking at undergraduate applications and thinking things like, "We need to find the best experts in ML-drug discovery in this set of applications..."
They are thinking, "We need to find people that have shown they can be successful in the high-stress academic environment of grad school."
For better or worse, that's going to include (depending on the school) metrics such as:
- Communications skills as shown in your essays and other communications
- Experience doing mentored research (any mentored research)
- GPA
- GRE scores (for US universities)
- Leadership and volunteer experience
- Letters of recommendation from professors
So, by all means continue working on Kaggle competitions if you find those interesting. But if you are serious about entering the world of mentored research, consider the suggestions above.
