Sevvandi K.
@Sevvandik
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Mathematician. Conducts inter-disciplinary research in data science/mathematics.
Melbourne, Australia
Joined November 2017
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RT @WimsigAU: šļø @RandomSamplePOD released a podcast episode recorded at the 2024 #WIMSIG Conference today! š§āØ Hosted by @Sevvandik with guā¦
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RT @MATRIX_Inst: Thank you to esteemed MATRIX-Simons Fellow, Alessandro Sfondrini and Gabriele Tartaglino Mazzucchelli for this podcast. Reā¦
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RT @RandomSamplePOD: Attention - women in the mathematical sciences! Would you like to organise a special session at this year's @WimsigAUā¦
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RT @AustralianData: What a turnout! Itās so great to see so many amazing people at our annual ā¦@AustralianDataā© Science Network Conferenceā¦
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RT @RandomSamplePOD: Why would busy researchers want to host a podcast? We put that question to the hosts of The Random Sample - as we turnā¦
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RT @OPTIMA_ARC: The latest episode of The Random Sample is out: This episode features Sydney University Professorā¦
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RT @RandomSamplePOD: How should we look at randomness around us & why do we overestimate the chance of some things happening while underestā¦
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RT @RandomSamplePOD: Just out! Our latest episode explores how researchers at @UniofAdelaide are using #DataScience & #Maths to identify hoā¦
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RT @RandomSamplePOD: In our latest episode, how a post from Australian mathematician Terence Tao inspired @la_UPC Prof. Eva Miranda to takeā¦
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How do you evaluate algorithms in an explainable way? We are using #IRT to evaluate algorithms. This is work with Kate Smith-Miles @OPTIMA_ARC R package airt is on CRAN with recently updated with plotting functions. #rstats
In a study published in @JmlrOrg, researchers incl. Data61's @Sevvandik used Item Response Theory to test a portfolio of algorithms. The results are a report card for data scientists to use to shortlist the best algorithms for the job. Paper:
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RT @RandomSamplePOD: Our latestš§episode explores one of maths' most famous open problems, the existence of solutions of the Navier-Stokes eā¦
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Job Alert! Are you interested in working on FairML research? Salary Range:Ā AU$Ā 92,624 to AU$Ā 101,459 pa plus up to 15.4% superannuation 3-year contract Relocation package available Applications close on the 31st of August #facct23 Apply here.
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RT @OPTIMA_ARC: Interesting research often starts with questions faced by industry. The latest episode of @RandomSamplePOD talks with OPTIMā¦
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Yes, we need to understand, quantify and reduce bias in AI/ML If interested in working on this topic, apply here.
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RT @AustralianData: Check out our just updated Jobs Board: Exciting career opportunities with: @SciMelb @ourANU @Mā¦
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