Yuqi Si

Currently Applied Scientist - NLP at Pieces Technologies.
Former PhD student in clinical informatics from UT Health School of Biomedical Informatics.

[Yuqi Si @elmayuqi]

My 4-year journey of "blood sweat tears" at SBMI came to a close with our graduation ceremony. A truly amazing journey with inspiring people. It was a fantastic Friday having lunch at a Chinese restaurant with Dr. Roberts & labmates, and meeting SBMI faculties at the ceremony!

[Kirk Roberts @kirk_roberts]

On Friday I got to hood my first PhD student, Yuqi Si (@elmayuqi) with fellow committee members Elmer Bernstam and Xiaoqian Jiang.

Congrats Dr. Si!! Well-deserved honor after a tremendously productive time in graduate school.

[Yuqi Si @elmayuqi]

@srchvrs @kirk_roberts Thank you!

[Yuqi Si @elmayuqi]

@_morgananna_ @kirk_roberts Thank you!

[Yuqi Si @elmayuqi]

@yanshan_wang @kirk_roberts Thank you Dr. Wang. I'm currently working at Pieces Tech, with some of colleagues you may know, Majid, Yukun, etc. Really appreciate your good bless!

[Yuqi Si @elmayuqi]

@jiajiezhang100 @kirk_roberts Thank you Dean and Dr. Zhang! Really appreciate your support!

[Yuqi Si @elmayuqi]

@nicktatonetti @kirk_roberts Thank you Dr. Tatonetti! I still remember your course is exactly the fundamental guide of my biomedical informatics journey!

[Yuqi Si @elmayuqi]

@TMills @kirk_roberts Thank you Dr. Miller! Aha I clearly remember they shouted out your name, and I personally give a big shout-out to you along my PhD journey!

[Yuqi Si @elmayuqi]

@bgp_tweet Thanks, Braja!

[Yuqi Si @elmayuqi]

Thanks a lot, Dr. Roberts! I feel very honored to have worked with you over the past few years.

[Kirk Roberts @kirk_roberts]

Super proud of my PhD student, Yuqi Si (@elmayuqi), who successfully defended her dissertation today. One couldn't ask for a better person as their first PhD student. Made me look like a competent advisor!

[Kirk Roberts @kirk_roberts]

If you are interested in #ClinicalNLP, please vote for our workshop on the subject.

Voting is very important in the decision-making for which workshops are selected for ACL/NAACL/EMNLP/COLING. We would love to have a ClinicalNLP 2022 workshop!!

https://t.co/uZKBYtTBHy

[Yuqi Si @elmayuqi]

Thanks a lot, Dr. Miller! Really appreciate all your valuable feedback!

[Tim Miller @TMills]

I was pleased to be on Yuqi's committee, she was an incredibly productive PhD student! Expecting and looking forward to great things from her in the future.

[AMIA @AMIAinformatics]

Register for the #JAMIA journal club webinar on June 10 at 3 pm ET. Tune in and watch Robert Cronin of @OhioStateMed discuss his paper comparing family health history in surveys vs. EHR data mapped to the data model in the @AllofUsResearch program.
https://t.co/POODfFoJLF

[Andrew J King @AndyKingPhD]

Interested in representation learning on patient data? Check out this review by @JingchengDu, @elmayuqi, @feiwang03, @kirk_roberts in @J_Biomed_Info -> https://t.co/i7x89sc00l #DL #AIinMed

[Yuqi Si @elmayuqi]

May JAMIA Journal Club This Week! https://t.co/HHQi9gjstt

[AMIA @AMIAinformatics]

Join us for the #JAMIA Journal Club webinar on 5/13 at 3 pm ET. Lead author Santiago Romero-Brufau of @MayoClinic and @HarvardChanSPH will discuss the use of machine learning to improve the accuracy of patient deterioration predictions. Register today! https://t.co/MmwsfpOv2l

[Yuqi Si @elmayuqi]

Thanks Dr. Roberts and Dr. Bernstam for all the valuable feedback and efforts on this work! Hope this will be a starting point for future NLP-based phenotyping, especially for low-prevalence phenotypes.

[Kirk Roberts @kirk_roberts]

A 🧵 on our recent JBI paper. Our goal is to improve NLP-based phenotyping for relatively rare conditions (i.e., not “big data”) via transfer learning.
Yuqi Si (@elmayuqi) is first author and deserves 99% of the credit.
https://t.co/YyTTs4RG4r

[Yuqi Si @elmayuqi]

Last but not least. Come join us. #UTHealth_SBMI
#AMIA2020

[Fei Wang @feiwang03]

Want to know how to construct effective patient representation from clinical data (especially EHR) and whether deep learning can be really helpful, come to our panel S74 at #AMIA20 tomorrow on 10am @AMIAinformatics

[McWilliams School of Biomedical Informatics @McWilliamsSBMI]

S59: Oral Presentations - Patient Outcomes
#amia2020 #s59 - Deep Representation Learning of Patient Data from Electronic Health Records: A Systematic Review

[Yuqi Si @elmayuqi]

Thanks! I feel honored to serve on the board.

[Kirk Roberts @kirk_roberts]

Congrats to my PhD student Yuqi Si (@elmayuqi) who was selected to the JAMIA Student Editorial Board!
https://t.co/0NMTdgjjoJ

[Yuqi Si @elmayuqi]

Pre-trained clinical embeddings are here: https://t.co/rnB52whUGY

[Kirk Roberts @kirk_roberts]

In our new JAMIA paper, we evaluate clinical concept extraction with new embedding methods (ELMo/BERT) against traditional embeddings. The result is that--surprise--BERT wins on 4 of the most popular concept extraction datasets. @AMIAinformatics @elmayuqi https://t.co/NgmV5f4iTR

[Yuqi Si @elmayuqi]

Clinical data science specialization on coursera. 👍 Good to have a systematic understand of clinical data

[Laura Wiley, PhD @GenomeGal]

It’s here! Do you want to use #rstats to analyze clinical data and improve the health of future patients? Excited to launch the #ClinicalDataScience Specialization on @coursera from @CUAnschutz and Industry Partner @googlecloud https://t.co/Je3rllEs70