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DKP

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Posts posted by DKP

  1. I got an email from my POI saying that I am a very good fit to his lab and "a letter from the department should be forthcoming".

    For three weeks I haven't got an official letter, but can I assume that the comment above means an acceptance?

    It is my top choice and I am very nervous of waiting. Has anyone got similar response and got the final offer? 

    Help me out please!

  2. 5 hours ago, laveritecestla said:

    @DKP I'm in the MEMP program and while we don't currently have any people from pure CS backgrounds in the program, we do have a couple from non-biology STEM fiends (physics), so I'd say your background isn't necessarily a problem as long as you can clearly explain your current interests (since it seems like your research background backs it up) and why they fit into HST. 

    Thanks, having heard the intensive interviews that applicants go through for HST, I am a little nervous. Well, but only conditional to the interview offer.   

  3. 1 hour ago, gummybear9 said:

    I think you have a pretty good shot. Your GRE quant is a little concerning but I think everyone will look past that because your resume is incredible. As long as you're applying to places where you're a good fit and labs that focus on CS-based research, I think your unique background will catch faculty members' eyes. Seriously though with that many publications I feel like you must have a huuuuge advantage

    Thank you for your kind reply!

    I want to mention that the GRE score is written in a wrong order, where my Quant is 170, and Qual is 159. Even though it's not making much difference :)

  4. Hi, I would like to share my profile with you guys. You guys are so strong!

    My research area is at odds with most of the applicants, which raises two questions I want to ask,

    1) would faculty members be interested in someone like me who has artificial intelligence skills?

    2) Most programs I have applied to are top tiers, any chance I would get admitted?

    _________________________________________

    Undergrad Institution (approx. rank/reputation in STEM): Rank world 100 generally.

    Major(s): Economics
    GPA in Major: 3.7/4.00
    Overall GPA: 3.5/4.00
    Demographics/Background: International institution, but US citizen

    Graduate (MS) Institution (approx. rank/reputation in STEM): Rank world 100 generally.

    Major(s): Computer Science
    GPA in Major: 4.0/4.00
    Overall GPA: 4/0/4.00

     


    GRE Scores:
    Q: 159 (83%)
    V: 170 (96%)
    W: 4.0 (59%)


    LOR: 2 strong (Research Advisor/Mentor), 1 (Research Mentor) not sure - perhaps good.


    Research Experience: 2.5 years

    - 2 years as a MS student at Computer Science /

    - 4 months of Internship at middle-level US university (Research Intern, Data Analyst) /

    - 4 months of AI-related research intern position (Research Intern, AI Engineer)

     

    Publications/Abstracts/Presentations:

    7 pubs in peer-reviewed conferences,

    3 accepted (top tiers in Computer Science), 

    4 under-review (with 2 on Arxiv).

    2 more in preparations.

    Awards/Honors/Recognitions: 

    Invited as lecturer for Computer Science Workshops -  Four approx. 10-hour long computer vision workshops.

    Fellowships/Funding: 

    Research Assistant - full scholarship at the university for 2 years

    Travel Grants -  conference participation for 2 conferences.

     

    Pertinent Activities or Jobs: 

    Two four-months long research intern. Not counted as a job I guess.


    Other Miscellaneous Accomplishments: not sure

    Research Interests: Computer-aided diagnosis (Detection and Segmentation), Radiomics, Medical Image Analysis, Deep Learning, Computer Vision

    Institutions/Programs:

    MIT-HARVARD MEMP

    NYU SACKLER

    COLUMBIA BME

    YALE BME

    GA TECH BME

    JHU CS

    JHU BME

    USC CS

    USC BME

    UCLA Bioengineering

    Univ. of Michigan PIBS

    CORNELL BME

    WASHINGTON UNIVERSITY BME

     

    Comments: I am now involved in a number of medical image analysis research, based on my expertise in computer vision and AI. Would I be someone that faculty members might lookout for? 

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