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Kyle Kabasares
Приєднався 10 лют 2013
I am a recent Physics PhD graduate from the University of California, Irvine. I currently work at the Bay Area Environmental Research Institute (BAERI) at NASA’s Ames Research Center in Silicon Valley.
I like to make a wide variety of content that range from solving and explaining math and physics problems, comedic skits about physics and science in general, podcast episodes where I just go off on random tangents, videos of me playing games of all kinds, and much more! I've always enjoyed many different hobbies and trying to be as well-rounded as possible. Hopefully there is some content on my channel that you will find interesting and enjoy!
I like to make a wide variety of content that range from solving and explaining math and physics problems, comedic skits about physics and science in general, podcast episodes where I just go off on random tangents, videos of me playing games of all kinds, and much more! I've always enjoyed many different hobbies and trying to be as well-rounded as possible. Hopefully there is some content on my channel that you will find interesting and enjoy!
How I Went from Physics PhD to Data Scientist (Spoiler: Networking)
I talk about the job hunt I had last year following the completion of my Physics PhD at UC Irvine. It was a long process that finally resulted in me starting my current job 4 months following the end of my PhD. I discuss how I approached getting this job, some mistakes I made along the way, and ultimately how networking was the key factor in securing the position.
Resources Discussed in the Video:
Coursera Courses
Machine Learning Specialization: www.coursera.org/specializations/machine-learning-introduction
IBM Data Science Professional Certificate:
www.coursera.org/professional-certificates/ibm-data-science
Books:
Hands-On Machine Learning: www.oreilly.com/library/view/hands-on-machine-learning/9781098125967/
Ace the Data Science Interview:
www.acethedatascienceinterview.com/
Resources Discussed in the Video:
Coursera Courses
Machine Learning Specialization: www.coursera.org/specializations/machine-learning-introduction
IBM Data Science Professional Certificate:
www.coursera.org/professional-certificates/ibm-data-science
Books:
Hands-On Machine Learning: www.oreilly.com/library/view/hands-on-machine-learning/9781098125967/
Ace the Data Science Interview:
www.acethedatascienceinterview.com/
Переглядів: 502
Відео
Re-Learn Newton's Method With Me (Part 2): Finding a Lagrange Point!
Переглядів 6912 годин тому
I go through another example of using Newton's method to find the first Lagrange Point in the Earth Moon System.
Re-Learn Newton's Method with Me!
Переглядів 11716 годин тому
I go over some of the math of Newton's Method as well as an example of how to program the algorithm in Python.
FizzBuzz? Nah RizzBuzz (Gen-Z Programming)
Переглядів 7519 годин тому
Proof that I'm not making this stuff up: en.wikipedia.org/wiki/List_of_Generation_Z_slang
1 Year After My PhD...What Have I Learned?
Переглядів 36714 днів тому
I share some lessons I've learned in the year since finishing my Physics PhD at UC Irvine. Link to My Video: I'm Leaving Academia After My PhD: ua-cam.com/video/AKw4jB4VVOw/v-deo.html
Some Thoughts on AI
Переглядів 10521 день тому
I talk about some thoughts I have about AI and the role it has in our society today and in the future. Follow me on Social Media X: AstronoMisfit Instagram: AstronoMisfit Website: www.kylekabasares.com
If ESPN Covered Mathematicians (Part 2)
Переглядів 7 тис.3 місяці тому
People wanted it, so here it is: Round 2 of ESPN analysts covering mathematicians! In this video we try to determine who was the most influential mathematician of the 20th century: Paul Erdős or Alexander Grothendieck. Follow Me on Social Media: X: AstronoMisfit Instagram: astronomisfit Website: www.kylekabasares.com
If ESPN Covered Mathematicians
Переглядів 34 тис.3 місяці тому
Who is the G.O.A.T when it comes to math? Leave it in the comments below! My Social Media Twitter: AstronoMisfit Instagram: AstronoMisfit Website: www.kylekabasares.com
A Simple Example To Help With Thinking About Entropy
Переглядів 2064 місяці тому
A very basic example I came up with recently when trying to explain entropy to a friend of mine. Follow me on Social Media Twitter: AstronoMisfit Instagram: AstronoMisfit Website: www.kylekabasares.com
bayes' theorem is bae (Re-Learn Probability With Me: Valentine's Day Edition)
Переглядів 1064 місяці тому
On this Single Awareness Day, oops, I meant Valentine's Day :p I take you through Bayes' theorem, a formula that underpins a whole sect of statisticians. Bayes' theorem, named after the Reverend Thomas Bayes is a formula that describes how to calculate the probability of an event given that another event has occurred. For this Valentine's Day, I thought it would be a fun example to explain how ...
Re-Learn Probability With Me - Rolling 2 Consecutive 6s In 3 Dice Rolls
Переглядів 2535 місяців тому
Welcome to a new series I am starting where I try to re-learn all the probability I have forgotten! In this first video, we will go through the following problem: "Imagine rolling a dice 3 times. What is the probability of rolling 2 consecutive 6s?"
I'm Back
Переглядів 5976 місяців тому
An update video explaining what's been up with me in the past 6 months. So much has happened and while I'm not at 100% yet, I just wanted to share that I do have plans to create content in 2024. My Thesis: escholarship.org/uc/item/4204805q My web page: www.nasa.gov/people/kyle-kabasares/
Kyle Kabasares Physics PhD Dissertation Defense (University of California, Irvine)
Переглядів 1,4 тис.Рік тому
This was the public presentation and defense of my PhD dissertation entitled: "Black Holes and Revelations: Dynamical Mass Measurements of Supermassive Black Holes in Early-Type Galaxies with ALMA and HST". The defense was held at UC Irvine on June 5, 2023, and was in a hybrid meeting format with attendees watching both in-person and on Zoom. The video is the recording of the Zoom call. The int...
i just wrote my dissertation
Переглядів 921Рік тому
The title says it all. Thank you to everyone who have been supporting me over all these years.
Black Hole Week + Revisiting My Conference Talk at AAS 241
Переглядів 317Рік тому
Black Hole Week Revisiting My Conference Talk at AAS 241
Kyle's PhDiary #8 | 5/1/2023 | I Submitted Another Paper for Publication!
Переглядів 151Рік тому
Kyle's PhDiary #8 | 5/1/2023 | I Submitted Another Paper for Publication!
How I "Weighed" Two Supermassive Black Holes (First-Paper Author Summary)
Переглядів 369Рік тому
How I "Weighed" Two Supermassive Black Holes (First-Paper Author Summary)
Kyle's PhDiary #7 | 4/11/2023 | Almost Fell Asleep At School
Переглядів 144Рік тому
Kyle's PhDiary #7 | 4/11/2023 | Almost Fell Asleep At School
Kyle's PhDiary #6 | 4/10/2023 | Birthday!
Переглядів 166Рік тому
Kyle's PhDiary #6 | 4/10/2023 | Birthday!
Kyle's PhDiary #5 | 4/7/2023 | First Week of the School Quarter Done!
Переглядів 132Рік тому
Kyle's PhDiary #5 | 4/7/2023 | First Week of the School Quarter Done!
Kyle's PhDiary #4 | 4/6/2023 | Unproductive Day?
Переглядів 113Рік тому
Kyle's PhDiary #4 | 4/6/2023 | Unproductive Day?
Kyle's PhDiary #3 | 4/5/2023 | I SET MY PHD DEFENSE DATE!
Переглядів 237Рік тому
Kyle's PhDiary #3 | 4/5/2023 | I SET MY PHD DEFENSE DATE!
Kyle's PhDiary #2 | 4/4/2023 | Priority Management
Переглядів 173Рік тому
Kyle's PhDiary #2 | 4/4/2023 | Priority Management
Kyle's PhDiary #1 | 4/3/2023 | Starting my Last Quarter in Grad School (Physics PhD)
Переглядів 277Рік тому
Kyle's PhDiary #1 | 4/3/2023 | Starting my Last Quarter in Grad School (Physics PhD)
Vlogging My Experience At the American Astronomical Society Meeting (AAS 240)!
Переглядів 685Рік тому
Vlogging My Experience At the American Astronomical Society Meeting (AAS 240)!
Reacting To My First First-Author Paper Being Accepted for Publication (emotional)
Переглядів 8852 роки тому
Reacting To My First First-Author Paper Being Accepted for Publication (emotional)
Watching the Event Horizon Telescope Sagittarius A* Event Live!
Переглядів 1692 роки тому
Watching the Event Horizon Telescope Sagittarius A* Event Live!
My 1st-author paper has been reviewed and...
Переглядів 4212 роки тому
My 1st-author paper has been reviewed and...
This was super helpful, thanks for sharing Kyle! Just got my masters in Scientific Computation and Applied Math and beginning the job search is super stressful. I have been looking to break into the machine learning and data science field as well so I will definitely be taking a look at the resources you shared!
I'm glad to hear you found it useful! Best of luck with your own job search!
👏 👏 👏
I'm currently looking for an industry job and it's tough out here. I think your advice about knowing someone is probably what I need to actually get my resume read by an employer.
I can totally empathize with that. Obviously, I only have my own experience to go off of, but I seriously think the only people who read my resume were the people at my current job before they hired me. Jobs now receive dozens to hundreds of applicants, so they use a lot of AI filters to do a lot of the resume reading and getting rid of those that don't seem to closely align with the job description. One thing that started happening to me was feeling that I was unemployable and that I had wasted all those years for my degrees. Don't let that happen to you! You are very smart and talented, and unfortunately the way the world currently works makes that very difficult to get that across to potential employers!
Did you not want a physics job?
I spent my PhD doing Astronomy/Astrophysics mostly, and I didn't really want to work in an observatory after graduate school. Also, based on my experience as an undergraduate where I did experimental condensed matter physics research, I didn't really enjoy the lab setting that much, so that was a no-go for me. And finally, I don't think I'm quite adept at calculations to be a theorist either, so *shrugs* a pure physics job didn't seem like the best route to go. I did enjoy the programming/data analysis/data modeling aspects of my PhD, so I wanted to do something that would take advantage of those skills I had developed.
As a Gen Z astrophysics undergrad, this video hurts but in a good way. But hey, at least it kinda helped me refresh my Python knowledge! Keep up the good work :3
Sorry for holding a mirror up to your generation :p Will probably never want to do that again, but it was a video idea I had for a long time!
Kindly share bour scope of Phd astrophysics
thanks for sharing. Did you have to learn anything industry related before applying to the jobs? I will be defending hopefully next year and i'm wondering if i have to learn anything specific in the meantime, although finishing up my research projects and thesis writing will be a huge stress and I doubt I get a chance to do anything on top of them
I just made a video about this! ua-cam.com/video/g7pO6Udyx1w/v-deo.htmlfeature=shared
@@KMKPhysics3 Ty Ty its already on my watchlist 🤩
Good video!, Could you please share what do you do at your job and how was the transition?
Thanks Kyle
Thanks for your thoughtful insights
Why are you allowed to just divide everything by cos^2? if it is sin^2+cos^2=1 then you would be able to subtract sin or cos from 1 but not divide?
Thanks for the wisdom.
I just got accepted into grad school for physics and I've already decided I don't want to be an academic afterward. There's never been a time in my life that I haven't been in school, so it'll be nice to be done with it. I just want to work in a lab somewhere, and a PhD is the only way I can get any of the fun researcher jobs.
Chandra was smarter than Einstein
My favorite proof by far
my ap test is tmrw and it looks like im getting a 3 or 4, but hearing your story makes me feel better. thx.
This is why we used to hate goldstein as it was way higher and we didn't get the steps 😅
Thanks 🙏🏽
I can't believe I learnt this within seconds 🤯 brilliant
Congrats! A great review of Chandrasekar's genius, without making him a victim. He was a brilliant scientist, physicist and a gentleman.
Just a piece of unsolicited advice for you. You could still teach high school after you get your PhD (until you get your permanent teacher's license). It would give you that extra pedagogical edge that many pure academics lack at the university level and could make you more competitive going back into academia in the long run. There are alternative teacher certification programs to gain state licensure these days and you'd be a shoe-in if you put in the effort. Cheers and best wishes finishing your PhD.
Congrats 🎉🎉🎉🎉
Sin2a + Cos2a = 1 =1-cos2a + cos2a =1 rhs proved
I want these book's
GOAT is definitely Gauss. Then Euler, Archimedes, Riemann, Newton. Then probably Leibniz, Poincare, Hilbert, Galois, Abel, Lagrange, Laplace, d'Alembert, the Bernoulli family, Euclid, Legendre, Descartes, Grothendieck, etc. Then probably Cauchy, Fermat, Fourier, Pythagoras, Wiles, Hardy, von Neumann, etc. Tao? Haha. Really nice person, really intelligent, great scholar, but he's not there.
"We should all be -grateful that Allen Iverson- sorrowful that Ramanujan -wasn't 6' 6- didn't live till 66 years old." -Kobe Bryant- Gregori Perelman probably
man this is just fun to watch even tho i understand very little abt it, congrats on the phd dude ^^
LeFraud equivalent math level is barley a kid who finished 3rd grade in calculus.
Congrats, Doctor!
I’m also a mechanical engineering major who’s about to finish the sophomore year. I’ve been thinking about switching to physics for a long time because people told me to do engineering and I hate the whole design process and I’m more there for the physics and math haha.
This is the best video I have seen in a while
Thank you :)
So good.
Loved this.
Erdos, Ramanujan, Grothendieck and von Neumann were huge stars but others who deserve mention are the mommy of algebra herself Emmy Noether, the daddy of probability Andrey Kolmogorov and the daddy of functional analysis Stefan Banach.
David Hilbert left the chat
Ramanujan will forever be my GOAT. He had always been too injury prone to have a long career in the league but when he was in the game, he DOMINATED
Facts
He IS the GOAT
the Pythagarous snub is kinda crazy
Grothendieck is the goat
it does not require bravery actually. Only does a common sense. I am working with different research teams including faculty professors in the major universities, and I never seen a single person, I repeat, single person who is happy about their life. They are exhausted, depressed, entrapped.
The fact that you didn't mention Scholze along with Tao for current great mathematicians is so wrong. Tao is a prolific mathematican but his work lack the depth of other great titans. He is so popular because of today media power. Surely not on top 5 or even top 10 of all time
No yi tang, no Perelman,no party 🎉🎉🎉
The 1st time "they're 17" is being used as a defense
Euler is the all time goat for sure
He got that dawg in him
Tao stans always ignore the fact that Wiles has an Abel Prize
Not even talking about Hilbert or von Neumann huh? Serious blasphemous shit.
John von Neumann
I’m a full professor of english - I always envied those in fields where there were a lot of applications for the degree outside of academe! I see so many people working as adjuncts, locked out of full-time work with benefits - there is no similar form of exploitation in other professions.
I love this series so much