@iirisSun

Ph.D. student in Probabilistic Machine Learning group at Aalto University. she/her

Joined April 2017
  • Tweets11
  • Following99
  • Followers120
Mihin erehtyväistä ihmislääkäriä tarvitaan tulevaisuudessa, kun tekoälyjärjestelmät hoitavat hommat nopeammin ja tarkemmin? Uusimmassa #KahvitNäppiksellä -jaksossa @rsarvas'n vieraana on @iirisSun. @AaltoUniversity @FCAI_fi @samikaski open.spotify.com/episode/2zg…
6
2
17
Iiris Sundin retweeted
Pedram Daee@ped_ram7 Dec 2019
Going to #NeurIPS2019? Visit our poster "Machine Teaching of Active Sequential Learners" with @tomi_peltola @mert_celikok @samikaski. @FCAI_fi @AaltoPML Link: aaltopml.github.io/machine-t…
4
18
Great that this cool work is now out!
You’re unable to view this Post because this account owner limits who can view their Posts. Learn more
3
Interview about me and my Ph.D. research. "Research offered a way to bring received mathematical ways of thinking and skills into the real world, and to tell something about that world. 'I realized it was such great fun that I rather do more of the same.'"
Computer Science@CSAalto15 Oct 2019
The role of #AI in #healthcare is researched a lot. However, @iirisSun's point of view is unique in having the machine make use of the doctor's knowledge to define the best possible care for the patient. @samikaski @FCAI_fi aalto.fi/en/news/when-physic…

When physician and AI work together, the patient benefits | Aalto University

Doctoral student Iiris Sundin learned in her studies that a machine learning model could make use of a physician's silent knowledge which usually is never written down. This kind of model predicts...

aalto.fi
1
1
14
🚨POSTDOC JOB THREAD🚨 Open call for postdocs that we are filling on a rolling basis – if you're interested in joining North Europe's leading AI reserach hub for the next stage in your career, now is your chance. We have opportunities in 5 fields... fcai.fi/new-page
1
19
2
13
"Active Learning for Decision-Making from Imbalanced Observational Data", preprint with @pschulam, @eerosiivola, @avehtari, @suchisaria and @samikaski arxiv.org/abs/1904.05268 @FCAI_Fi #FCAI #AaltoPML

Active Learning for Decision-Making from Imbalanced Observational Data

Machine learning can help personalized decision support by learning models to predict individual treatment effects (ITE). This work studies the reliability of prediction-based decision-making in a...

arxiv.org
14
1
48
If we want to have AI personal assistants, or algorithms that help with personalised medicine, our AI systems will have to be able to operate with "small data". Find out more from Aalto University professors @jaakkolehtinen and @samikaski @AaltoResearch @AaltoUniversity
1
15
33
Great and inspiring presentations at StanCon, and I'm so happy I got a chance to talk about our recent work! #StanHEL #AaltoPML
You’re unable to view this Post because this account owner limits who can view their Posts. Learn more
1
9
Iiris Sundin retweeted
Samuel Kaski@samikaski6 Jul 2018
"Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge" in Bioinformatics, with @iirisSun, T. Peltola, @LuanaMicallef, @Homayun_it, @HeckmanLab, @gjacucci. P. Marttinen and others doi.org/10.1093/bioinformati… #ismb2018 #AaltoPML

Improving genomics-based predictions for precision medicine through active elicitation of expert...

AbstractMotivation. Precision medicine requires the ability to predict the efficacies of different treatments for a given individual using high-dimensional

academic.oup.com
5
7
Load more