3/23/2021: Ethan Weinberger receives the NSF Graduate Research Fellowship (GRF).

Su-In has been elected as an ISCB Distinguished Fellow! 

Check out Su-In's Ho-Am Prize video!

6/18  Soham won the best paper runner-up award at CVPR Workshop!

5/22  Our first AIMBA (AI Meets Biology of Aging) meeting has taken place!

4/3  Su-In has been awarded the Samsung Ho-Am Prize in Engineering. Read more here.

3/25 Su-In has become an AIMBE Fellow.

3/10 Wei and Patrick will lead the inaugural AIMBA meeting (AI Meets Biology of Aging)!

2/15 Su-In received the Innovator Award from the International Society of Computational Biology (ISCB).

1/15 Soham's paper got accepted to ICLR'24!

12/28 Alex's paper got published in Nature BME!

12/1/ Wei's paper got selected as the Cover Article for Lancet Healthy Longevity!

9/21 Ethan's, Chris', and Ian's papers got accepted to NeurIPS!

6/25 Ethan's and Chris' paper on contrastiveVI got published in Nature Methods!

5/22 Hugh's and Ian's paper on Shapley value computation algorithms got published in Nature Machine Intelligence.

5/1 Joe Janizek's explainable AI work on cancer pharmacogenomics in collaboration with Prof. Kamila Naxerova (MGH/Harvard) got accepted to Nature Biomedical Engineering.

4/24 Ian's work on dynamic feature selection got accepted to ICML'23.

4/19 Joe's work on XAI for unsupervised models and Alzheimer's disease is published in Genome Biology.

4/12 Ian's work on spatial transcriptomics is published in Nature Communications.

1/20 Two papers got accepted to ICLR'23.  Congratulations Chris Lin, Hugh Chen, Chanwoo Kim, and Ian Covert!

1/11 The Annual CMB Symposium will be held on 1/11.

1/1 Prof. Lee shares her view on future trends in digital health with Geekwire.

Wei Qiu's paper on explainable prediction of all-cause mortality is published in Nature Communications Medicine.

Ian Covert and Prof. Lee created and co-taught a new course on explainable AI.

Joe/Alex's work on XAI-based model auditing is highlighted in Nature. Check here.

Hugh Chen's paper on explainable AI for a series of models is published in Nature Communications.