Tianlin Liu

I am a master student and a former undergrad at Jacobs University Bremen, Germany. Working with Herbert Jaeger, I am interested in statistical modeling, analysis of learning algorithms, and computing with spikes.

My CV is available here.


  • December 2018: Our paper (with Xu He, Fatemeh Hadaeghi, and Herbert Jaeger) on Reservoir Transfer has been accepted to NER-2019.
  • November 2018: Our paper (with João Sedoc and Lyle Ungar) has been accepted by AAAI 2019.
  • September 2018: I attended the Bernstein Conference 2018.
  • August 2018: I received a travel award to present at BioCreative/OHNLP workshop at the ACM-BCB 2018, Washington, D.C.
  • August 2018: My paper on learning Observable Operator Models from data containing missing values is available on arxiv.
  • June 2018: Our paper on Fast Binary Compressive Sensing has been accepted by 5th CoSeRa 2018.
  • May 2018: I started my summer research internship with Lyle Ungar at Upenn.
  • April 2018: I have been awarded with the SMARTSTART1 Training Fellowship of Computational Neuroscience by the Bernstein Network and the Volkswagen Foundation.
  • March 2018: I had a one-week research visit at the Institute of Neuroinformatics of UZH and ETH, Switzerland.
  • March 2018: I attended IK-2018, Moehnesee, Germany.
  • Feb 2018: I attended AAAI-18, New Orleans, USA.
  • November 2017: Our paper on Predicting Engagement Breakdown in HRI has been accepted to the AAAI-18 workshop on Affective Content Analysis.
  • September 2017: I attended the 2nd Young Researchers Event and the Codjam of the Human Brain Project (HBP) in Geneva and Lausanne, Switzerland.