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6th HLF – Interviews with young researchers: Pantea Pooladvand

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[Music] thank you again for taking the time with
us tell me about your work so I work in the field of mathematical biology and in particular on caloric modeling so looking at tumor growth treatment invasion models yeah I try to make mathematical models of these kind of problems and and sometimes I work with biologists on these problems to sort of try and find a better I guess solutions my my recent area of research has has actually been in ovarian cancer because it has a really bad survival rate and and there are some I'm really interested in trying to find sort of those biomarkers that can that can make it possible to sort of catch it earlier yes sir that's my area and how did you get interested in that area um so basically after I finished I did my undergraduate
by distance and I finally went to Sydney University and I met my supervisor dr. Peter Kim and this is his area of work and we sat down and we spoke about it and and once I start to work in that area with the different types of problems I just I just kind of blew me away you know that's you know all the different ways that we can model these problems or that they folded all the different solutions that we can we can look for and and also on a personal level I lost my father to a brain tumor a few years ago so it has that sort of personal element for me as well to work in that area was there anybody in particular who sort of guided you along and who you would consider a mentor definitely my supervisor now so yes definitely my supervisor he always encourages me to think outside the box he is happy to for me to try new things even if he thinks that it's you know even if he knows ahead of time that this is this may not be the best approach
he'll let me go down that path he'll let me learn but and he's incredibly
encouraging and that makes all the difference yeah so that's I would say that he's probably he's probably my main mentor in the in that area yeah now that you're a little bit
further in your career you have I assume that you act as a mentor to others and how do you approach that yes so I I work at the University I teach first year calculus there and I also have my own little children studio and what I try and impart to my students is is this whole idea of working hard through problems and and persevering understanding that you're not just going to perhaps work something out overnight that's okay just keep thinking about it and and eventually you'll work it out and so I share my stories with them I share not just the the successes but the failures and and how I try and work through this those failures I think that's important so that's that's sort of how I try and impart some of the things that I've learned yes persistence and drive is really the key for me now on the other side of that equation you're here surrounded by the laureates has there been anybody in particular who stood out in your mind so yes I I wanted to meet Andre Zim already I really it wasn't because we have anything common when it comes to our research but I I was reading his background and I just found yeah of the way he sort of went about it his career and the changes that happened just really really fascinating so I was very very interested to to speak to speak with him about about that and yeah we're yeah we're that might only how it all led to where he is now yes I have not just yet but the still time we still have a couple of days yes what about the other laureate is there anybody who's out in your mind yes definitely different definitely Bill Phillips he is such an amazing character I had had a chance to have dinner with him on the foot on the first night he's enthusiasm and his Drive and his passion and the way that he he can describe and explain his ideas is just mind-blowing to me so yes yes anyone else who you've run into perhaps not that sticks to my mind in the same way as those two yeah how about the other researchers what's your impression of the young researchers absolutely amazing everybody comes from such diverse backgrounds we're all working in different fields but we share those those commonalities you know we we want to do well we want to succeed at what we do you know we love our we we love our fields and and the diversity of it all and if you yeah everybody's here to sort of share their ideas and thoughts and and not just mathematics but but yeah
the struggles in their their accomplishments it's great yeah I'm just going to take a quick look at my list here Oh what was what were your expectations before you came to the HLF and has the event lived up to them ah so my expectations was was basically to meet the other young researchers obviously to meet some of the laureates and and spend time getting to know getting to know them I guess and it has far apps yeah outdone itself I think the event it's been fantastic it's it's it's I really have had a chance to understand a much more diverse area of areas of mathematics and computer sciences things that I didn't even I guess realized that existed and that's been fantastic for me yes I mean particularly now I'm very curious any particular areas that sort of became clear to you from being here okay so I guess it's it's more the sense of computing and mathematics I just I knew they overlapped but not to this to this extent machine learning is something that I really didn't know that much about and it was really interesting to sort of find out a little bit more about this deep learning and machine learning I knew it was there but yeah it's really started to kind of take over and it was really interesting to find those things out yes what advice would you to somebody who's thinking of applying to the HLF my advice would be to come with a really open mind to attend talks and discussions that you feel that you're not in your area and you know nothing about and just to sit there and and and learn and absorb the information and just expand your mind that's that would be my advice yes anything else that you think is worth mentioning that we should have talked about perhaps of course please oh well I suppose the last thing is after the HLF okay um do you
think that you'll approach your work differently from from this experience well I approach my work differently yes and it was because of all the things that I learnt about deep learning and machine learning this is a very interesting area for me in biology because you know I tend to work with either very deterministic models or a stochastic modeling and it's very interesting to sort of think about how perhaps things may learn and evolve it as well so definitely something that I'll definitely take away from that but also just the passion and the drive that people have here that that really kind of excites you and once you get to get you back into your work again yes okay I have nothing else thank you so much thank you thank you so much [Music]
you [Music]
Gruppe <Mathematik>
t-Test
Mathematik
Subtraktion
Quader
Mathematik
Flächeninhalt
Sortierte Logik
Körper <Physik>
Element <Mathematik>
Abstand
Übergang
Numerisches Modell
Subtraktion
Flächeninhalt
Erwartungswert
Erweiterung
Kalkül
Flächeninhalt
Verbandstheorie
Mathematik
Sortierte Logik
t-Test
Körper <Physik>
Gleichungssystem
Grundraum
Ereignishorizont
Flächeninhalt
Sortierte Logik
Gruppe <Mathematik>
Numerisches Modell
Stochastischer Prozess
Distributionstheorie
Gruppe <Mathematik>

Metadaten

Formale Metadaten

Titel 6th HLF – Interviews with young researchers: Pantea Pooladvand
Serientitel 6th Heidelberg Laureate Forum (HLF), 2018
Autor Pooladvand, Pantea
Lizenz Keine Open-Access-Lizenz:
Es gilt deutsches Urheberrecht. Der Film darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.
DOI 10.5446/40187
Herausgeber Heidelberg Laureate Forum Foundation
Erscheinungsjahr 2019
Sprache Englisch

Inhaltliche Metadaten

Fachgebiet Mathematik
Abstract Young researchers at the 6th HLF sit down with Tom Geller, Tom Geller Productions, to discuss their career, mentoring and their experience at the Heidelberg Laureate Forum (HLF). The opinions expressed in this video do not necessarily reflect the views of the Heidelberg Laureate Forum Foundation or any other person or associated institution involved in the making and distribution of the video. Background: The Heidelberg Laureate Forum Foundation (HLFF) annually organizes the Heidelberg Laureate Forum (HLF), which is a networking event for mathematicians and computer scientists from all over the world. The HLFF was established and is funded by the German foundation the Klaus Tschira Stiftung (KTS), which promotes natural sciences, mathematics and computer science. The HLF is strongly supported by the award-granting institutions, the Association for Computing Machinery (ACM: ACM A.M. Turing Award, ACM Prize in Computing), the International Mathematical Union (IMU: Fields Medal, Nevanlinna Prize), and the Norwegian Academy of Science and Letters (DNVA: Abel Prize). The Scientific Partners of the HLFF are the Heidelberg Institute for Theoretical Studies (HITS) and Heidelberg University. More information to the Heidelberg Laureate Forum: Website: http://www.heidelberg-laureate-forum.org/ Facebook: https://www.facebook.com/HeidelbergLaureateForum Twitter: https://twitter.com/hlforum Flickr: https://www.flickr.com/hlforum More videos from the HLF: https://www.youtube.com/user/LaureateForum Blog: https://scilogs.spektrum.de/hlf/

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