Allen School

Probing the physical limits of DNA data retrieval: A new paper in @Nature Bioengineering from @UW & @MicrosoftResearch describes how to achieve reliable file recovery using PCR random access with as few as 10 copies stored in synthetic DNA: https://www.nature.com/articles/s41467-020-14319-8 … 1/2pic.twitter.com/e8wy2IYzQz

The organizers of @TheOfficialACM's SOCC 2019 took a systematic approach to diversity & inclusion. #UWAllen director Magdalena Balazinska and her colleagues share lessons learned and ideas for making academic research conferences welcoming to all: http://wp.sigmod.org/?p=3009 pic.twitter.com/xwBCxcWLoG

A team of researchers led by #UWAllen professor Katharina Reinecke and @QishengLi created a tool to allow a more diverse pool of behavioral studies participants. (1/3)pic.twitter.com/LZx3Kn9Ucq

#UWAllen’s latest undergrad spotlight features Noelle Merclich, a @UW student who works hard to introduce middle and high schoolers to computer science and to give incoming #UWAllen students a great first year experience. (1/2)pic.twitter.com/mU7j93XBXH

"From local explanations to global understanding with explainable AI for trees" https://www.nature.com/articles/s42256-019-0138-9 …, by @UW researchers @scottlundberg, @gabeerion, Alex DeGrave, @jordanprutkin, Bala Nair, Ronit Katz, @XPOTASN, @NishaKidneyDoc, @suinleelab #UWinnovates (4/4)pic.twitter.com/qiLoFrPSMd

TreeExplainer, which is rooted in game theory, can provide a global view of the dependency of certain patient risk factors while highlighting variabilities in individual risk. (3/4)pic.twitter.com/gBXlRzEMOK

Many of these models are “black box” models, offering predictions without explaining how they arrived at their results. This is problematic in medicine, where patterns and individual variability that the model might uncover can be as important as the prediction itself. (2/4)pic.twitter.com/5EYDg40GiU

Explainable #AI for medicine: In a new paper published in @NatMachIntell, #UWAllen AIMS Lab & @UWMedicine researchers present TreeExplainer, a set of tools for computing optimal local explanations for tree-based predictive machine learning models: https://news.cs.washington.edu/2020/01/17/seeing-the-forest-for-the-trees-uw-team-advances-explainable-ai-for-popular-machine-learning-models-used-to-predict-human-disease-and-mortality-risks/ … (1/4)pic.twitter.com/CvJ2OBTC6i

Don’t forget! #UWAllen’s Distinguished Lecture series featuring a talk by @Columbia professor Kathleen McKeown, Founding Director of the Data Science Institute is today. (1/4)pic.twitter.com/2my4YSNmtH

Mark your calendars to join us next Thurs (1/16) at #UWAllen’s Distinguished Lecture series featuring a talk by @Columbia professor Kathleen McKeown, Founding Director of the Data Science Institute. (1/4)pic.twitter.com/UAG7LlTlOL

#UWAllen’s grad student @adityakusupati and his research colleagues have developed a low-power, cost efficient radar-based intruder detection system. Their work earned them the Best Paper Runner-Up at @sys_build 2019. #MondayMotivation (1/2)pic.twitter.com/O9wG2pIy6K

#UWAllen’s latest undergrad spotlight features Kevin Ryoo @seleCTKR, a @UW student who built a career as a world champion professional gamer before pressing pause to study computer science. (1/2)pic.twitter.com/eq08QWDlSu

#ICYMI: An interdisciplinary team of #UWAllen & @UW researchers created Carpentry Compiler, a digital tool that helps woodworkers optimize the fabrication process based on their materials and tools. https://news.cs.washington.edu/2019/12/19/carpentry-compiler-program-applies-lessons-from-computer-programming-to-modernize-fabrication-processes/ …pic.twitter.com/BHktxDW9l4

Calder (B.S., '91), now at @Google, was recognized by the ACM for contributions to cloud storage, processor simulation, replay, and feedback-directed optimization of systems and applications. (6/7)pic.twitter.com/1TFyY00gzC

Hertzmann, now with @Adobe, was recognized by the IEEE for contributions to computer graphics and animation. (5/7)pic.twitter.com/NdLe5ntOF5

Smith, who leads the Sensor Systems Lab & holds a joint appointment in @uw_ece, was recognized by the IEEE for contributions to far‐ and near‐field wireless power, backscatter communication, and electric field sensing. #IoT (4/7)pic.twitter.com/RFrmiOLKNI

Beame, a member of the Theory of Computation group, was recognized by the ACM for contributions in computational and proof complexity and their applications and service to the computing community. (3/7)pic.twitter.com/MQItPPeiHz

Balazinska, of @uw_db & @uwescience, was recognized by the ACM for contributions to scalable distributed data systems. #datascience #bigdata (2/7)pic.twitter.com/mXQErTRzPq

Congratulations to #UWAllen professors Magdalena Balazinska and Paul Beame and alumnus @CalderBrad, recently named Fellows of @TheOfficialACM, and to professor Joshua Smith & former postdoc @AaronHertzmann, elevated to Fellows of the @IEEEorg. https://news.cs.washington.edu/2019/12/12/allen-school-faculty-and-alumni-honored-by-acm-and-ieee-for-advancing-the-field-of-computing-through-research-and-service/ … (1/7)pic.twitter.com/LkV66Tm430

A team of #UWAllen & @UW undergraduates advised by affiliate professor Andrew Lumsdaine of @PNNLab captured 3rd place at @Supercomputing, the 48-hour Student Cluster Competition. Congrats to the #BoundlessDawg team! (1/2)pic.twitter.com/zcmIxe6gwK