Carolyn Lou

biostats phd candidate at @UPennDBEI with @Penn_SIVE

[PennSIVE @Penn_SIVE]

🎉🎓 Congratulations to @carolynlou_ , who recently defended her PhD thesis, "Statistical Methods for Quantitative Imaging Biomarkers"!!! 🧠🍾 @takishinohara

[PennSIVE @Penn_SIVE]

Here's to in-person conferences! 🎉 At #ENAR2022 our group had an amazing array of talks from our PhD students, including 5th year student @carolynlou_, 4th year students @smweinst @danni__tu and @Andrew_AChen (1/2)

[Carolyn Lou @carolynlou_]

Many thanks to @takishinohara and @chrisdav66 for their support with this work!

[PennSIVE @Penn_SIVE]

📑Out now🧠: Improving RCT efficiency w/ radiomics! "Leveraging machine learning predictive biomarkers to augment the statistical power of clinical trials with baseline magnetic resonance imaging" by @carolynlou_ @ModHabes @nickillenberger et al

🔗:
https://t.co/1FQOMmMcrg

[PennSIVE @Penn_SIVE]

📑Out now🧠: Improving RCT efficiency w/ radiomics! "Leveraging machine learning predictive biomarkers to augment the statistical power of clinical trials with baseline magnetic resonance imaging" by @carolynlou_ @ModHabes @nickillenberger et al

🔗:
https://t.co/1FQOMmMcrg

[PennSIVE @Penn_SIVE]

🧠 Now out in NeuroImage: Clinical 🧠 "Fully Automated Detection of Paramagnetic Rims in Multiple Sclerosis Lesions on 3T Susceptibility-Based MR Imaging" by @carolynlou_ et al!

🔗: https://t.co/cvCteW0E32

@eic_nic @UPennDBEI

[PennSIVE @Penn_SIVE]

We are hiring!! (Part 1) 🎉🧠 As a biostatistician, you would help with proposals, statistical analyses, drafting manuscripts, and other statistical support. Link below! Please r/t! ✨

https://t.co/G4SUEjeS50

[PennSIVE @Penn_SIVE]

#JSM2021 is off to a great start with fantastic talks from our PhD students @carolynlou_ @danni__tu @Andrew_AChen @super_jrub !! 📊🖼️🧠

[Carolyn Lou @carolynlou_]

So excited share a new method for automated detection of paramagnetic rim lesions in multiple sclerosis! Many thanks to @takishinohara @emsweene57 @Penn_SIVE for the mentorship and support!

https://t.co/1lj2O6sCuy

[Meghan Duffy @duffy_ma]

A friend was recently asking me about how to keep up on the literature. I was like, well, I open a whole bunch of articles in my browser. Then, at some point, the browser crashes and I start all over. It's pretty simple, really.

[PennSIVE @Penn_SIVE]

Celebrating @kristin_linn at the Figure Skating Club holiday show in the best way we know how - with stats jokes and life-sized cutouts!! ⛸️☃️ #linnsanity

[Brooke Watson Madubuonwu @brookLYNevery1]

@kareem_carr

[tom white @dribnet]

Neural networks trained on millions of real world photos created these six abstract forms when asked to draw chickens. These shapes are broadly recognisable by both humans and computer vision systems.