Nuna Health | San Francisco, CA | Remote (US) or Onsite | Full-time & Internships | VISA
At Nuna, our mission is to make high-quality healthcare affordable and accessible for everyone. We are dedicated to tackling one of our nation's biggest problems with ingenuity, creativity, and a keen moral compass.
Nuna is committed to simple principles: a rigorous understanding of data, modern technology, and most importantly, compassion and care for our fellow human. We want to know what really works, what doesn't—and why.
Nuna partners with healthcare payers, including government agencies and health plans, to turn data into learnings and information into meaning.
Feel free to reach out to me [muhammad <at> nuna <dot> com] for the open positions listed in the careers page (https://www.nuna.com/careers/). Please include your resume and interested position(s). Individuals only please, no solicitations.
Please note that visa sponsorships are only for people currently in the US with a valid temporary work permit (like OPT).
Nuna Health | San Francisco, CA | Remote (US) or Onsite | Full-time & Internships | VISA
At Nuna, our mission is to make high-quality healthcare affordable and accessible for everyone. We are dedicated to tackling one of our nation's biggest problems with ingenuity, creativity, and a keen moral compass.
Nuna is committed to simple principles: a rigorous understanding of data, modern technology, and most importantly, compassion and care for our fellow human. We want to know what really works, what doesn't—and why.
Nuna partners with healthcare payers, including government agencies and health plans, to turn data into learnings and information into meaning.
Feel free to reach out to me [muhammad <at> nuna <dot> com] for the open positions listed in the careers page (https://www.nuna.com/careers/). Please include your resume and interested position(s).
Please note that visa sponsorships are only for people currently in the US with a valid temporary work permit (like OPT).
Nuna Health | San Francisco, CA | Remote (US) or Onsite | Full-time & Internships | VISA
At Nuna, our mission is to make high-quality healthcare affordable and accessible for everyone. We are dedicated to tackling one of our nation's biggest problems with ingenuity, creativity, and a keen moral compass.
Nuna is committed to simple principles: a rigorous understanding of data, modern technology, and most importantly, compassion and care for our fellow human. We want to know what really works, what doesn't—and why.
Nuna partners with healthcare payers, including government agencies and health plans, to turn data into learnings and information into meaning.
Feel free to reach out to me [muhammad <at> nuna <dot> com] for the open positions listed below. Please include your resume and interested position(s):
- Data Engineer - Integrations
- Senior UX Designer
- Front-end Engineering Internship (Summer 2022)
- Software Engineer (Back End, Front End, Data Platform)
As soon as I saw the title, my reaction was "YESSSS!"... A while ago, I was looking for something like this, but I soon realized that deep learning on graphs is still comparatively new, and not many python modules exist for it.
I've been running it for some time now and it seems that the model started to converge towards generation 35 and then diverged after that. i.e. since you consider the loss to be distance from each particle to the food, then the ants ended up somewhat above the food at 35, and then started overshooting it after that. Is that expected behavior?
I did not expect all the ants to follow the same path, but I thought maybe they'll come close since only the best generations are supposed to get passed on with mutations. I'm at generation 810 and the model hasn't improved much. Most ants (except for ~6) first go to the right to avoid the obstacle, and then they travel to the upper-left corner while about 6-8 reach the food.
I hope it would work better with minor tweaks to calculating the loss and selecting new generations :) Good Luck
I've made a list of things I'd like to learn soon. These are personally important to me, but based on your circumstances and specializations, it may (or may not) be important for you as well.
1> Learning to learn
From my interactions with some of my friends, I've come to realize that I'm pretty bad at learning, or at being focussed and determined enough to put work into it. I'm not sure how I can correct it, but I've decided to learn at least one skill (like playing guitars, skateboarding, etc.) that requires persistence.
2> Calculus. statistics and some neuroscience
I'm a PhD student and my work primarily focuses on machine learning applications. However I've come to realize that there are too many AI Engineers and very less AI researchers and computational neuroscientists. I feel it's sad that a lot of people are following the hype-train for deep learning, while there is a third-generation neural network (spiking neural networks) that needs more research. Although this has been around for about a decade, the field is still lacking in terms of research. To even contribute a little bit into the field, I would need more knowledge in calculus, statistics and neuroscience (at the very least, about how neurons work). Even if I end up being unable to do research in the field, I still think calculus and stats are very important, so its a win-win anyway.
3> Psychology.
I've had my own battles with anxiety and depression, and one of the things that has helped keep me at bay even when I had suicidal thoughts was my knowledge about mental health. I could tell myself "this is not right, fight it or get help", because of what I've learned about psychology. I believe that learning psychology can help me better understand myself, my thoughts and my yearnings, as well as that it would give me the ability to understand others who are going though similar (or more difficult) circumstances. On the side, learning "persuasive psychology" can probably help with understanding the effects of different marketing tactics, while also maybe help me deal with difficult people. Other things like cognitive behavior therapy and mindfulness are also things I need to learn, but that would require some help from a therapist.
2) Machine learning and computational neuroscience are two different fields. You really don't need to understand neuroscience to contribute meaningfully to machine learning.
You'd be much better served by studying mathematics like real/complex/functional analysis, abstract algebra, probability, etc.
3) If you've struggled with suicidal thoughts, anxiety, and depression, don't bother waiting to see a therapist. Finding a therapist should be the first thing on your list.
I love calculus and stats. It's such a pity that I don't get to use them at work, but it's good to have the ability to use them. And keep trying hard beating anxiety and depression! No one can help you with this sort of battle except you. If you haven't read The Alchemist, I highly recommend this book.
Hi, I'm Muhammad. I'm currently enrolled for my PhD at RIT, and expecting to graduate in 2020. I'm interested in summer internships (+ Fall if necessary) for the role of Software Engineer or Research intern. My current area of focus is urban analytics using neural networks. I have been collaborating with the city of Rochester to find machine learning solutions for social science problems.
At Nuna, our mission is to make high-quality healthcare affordable and accessible for everyone. We are dedicated to tackling one of our nation's biggest problems with ingenuity, creativity, and a keen moral compass. Nuna is committed to simple principles: a rigorous understanding of data, modern technology, and most importantly, compassion and care for our fellow human. We want to know what really works, what doesn't—and why.
Nuna partners with healthcare payers, including government agencies and health plans, to turn data into learnings and information into meaning.
You can learn more about Nuna here: https://www.nuna.com/
Feel free to reach out to me [muhammad <at> nuna <dot> com] for the open positions listed in the careers page (https://www.nuna.com/careers/). Please include your resume and interested position(s). Individuals only please, no solicitations.
Please note that visa sponsorships are only for people currently in the US with a valid temporary work permit (like OPT).