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个人简介
My name is Madalina (Ina) Fiterau, I am an Assistant Professor at the College of Information and Computer Sciences at UMass Amherst, having started there in the Fall of 2018. See my UMass profile page.
Previously, I was a Postdoctoral Scholar in the Computer Science Department at Stanford University and part of the Mobilize Center, working with Professors Chris Ré and Scott Delp.
NOTE: This webpage will be kept updated with publications from my PhD and Postdoc for a while, but will ultimately be replaced with a faculty webpage, which is currently under construction.
In the meantime, please read about my past and ongoing projects below.
I aim to build intelligent systems that aid decision-making by extracting compact models and salient representations from multimodal, heterogeneous data.
Topics: dimensionality reduction, interpretability, transfer learning, hybrid models, vision, pattern detection, time series analysis.
I am especially interested in the use of machine learning systems for medical applications and have co-organized several NIPS workshops on this topic: MLCDA NIPS 2013, ML4CHG NIPS 2014, ML for Health 2016, ML for Health 2017.
I started off as a software engineer, having received my BEng from Politehnica Timisoara, Romania in 2009. Designing and coding software systems is something I enjoy, which is one of the reasons I've twice interned at Google, working with Jonathan Scott (summer of 2011) and Parisa Haghani (summer of 2013). I have also completed a research internship at Microsoft Research Cambridge, working with Peter Kontschieder and Samuel Rota-Buló.
Previously, I was a Postdoctoral Scholar in the Computer Science Department at Stanford University and part of the Mobilize Center, working with Professors Chris Ré and Scott Delp.
NOTE: This webpage will be kept updated with publications from my PhD and Postdoc for a while, but will ultimately be replaced with a faculty webpage, which is currently under construction.
In the meantime, please read about my past and ongoing projects below.
I aim to build intelligent systems that aid decision-making by extracting compact models and salient representations from multimodal, heterogeneous data.
Topics: dimensionality reduction, interpretability, transfer learning, hybrid models, vision, pattern detection, time series analysis.
I am especially interested in the use of machine learning systems for medical applications and have co-organized several NIPS workshops on this topic: MLCDA NIPS 2013, ML4CHG NIPS 2014, ML for Health 2016, ML for Health 2017.
I started off as a software engineer, having received my BEng from Politehnica Timisoara, Romania in 2009. Designing and coding software systems is something I enjoy, which is one of the reasons I've twice interned at Google, working with Jonathan Scott (summer of 2011) and Parisa Haghani (summer of 2013). I have also completed a research internship at Microsoft Research Cambridge, working with Peter Kontschieder and Samuel Rota-Buló.
研究兴趣
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Briefings in bioinformaticsno. 3 (2024)
CoRR (2024): 19-27
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Scientific reportsno. 1 (2024)
AISTATSpp.1869-1887, (2023)
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Journal for the measurement of physical behaviourno. 2 (2023): 124-133
medRxiv (Cold Spring Harbor Laboratory) (2020)
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