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I'm thinking about applying to PhD programs focused on Deep Learning and Theoretical Neuroscience this fall, and quite frankly I feel like I'm not good enough.
I just started doing research in the past 6 months, and I feel like I'm so far behind my peers its not even funny. I have a paper accepted for a small conference in the fall, but after talking to some folks at Phd programs at places like Stanford or MIT, I hear that students often come in with multiple first author publications. Is this true? I don't know how I can compete with that :/
I want to do research, I love it and have been working 80 hour weeks juggling two RAships and a research internship at a startup this summer, but I just feel like I won't be able to get into a solid background because of my non traditional background.
I'm finishing two Master's degrees, one in Biology and one in Computer science, from Harvard and Georgia Tech respectively. I previously did my undergraduate studies in Cognitive Science from UCSD. My GPA in my masters is a 4.0. I'll have theses written for each program as well.
My undergrad was non technical and weak (some family issues, I finished in 2.5 years without a strong focus on doing particularly well), and my research record is short, if a little intense. I've worked in Industry and have started a small, semi successful ML startup.
Do you have any advice for a nervous kid?