Welcome to Network Inference and Learning (NIL) Lab, a research group lead by Dr. Shan He, Senior Lecturer (Associate Professor) in School of Computer Science at the University of Birmingham. The overall goal of our group is to develop algorithms to discover knowledge from biomedical data. We are currently focusing on network inference and network learning algorithms and their applications to cancer. Here you can find more about us and our research.
Dr Nic Geard visited our lab. Nic is a senior lecturer of the University of Melbourne. He is an expert in complex networks and infectious disease transmission. He is vising us as a Birmingham IAS Vanguard Fellow (08-26/Oct/2018)
Chengbin Hou, Rui He, Mingyang Feng and Gourab Roy joined our lab Chengbin and Gourab will be working on the topics that related to network inference and learning, Rui will be working in Cognitive Collaboration and Mingyang will be working in decentralised search in complex networks. Welcome! (01/Oct/2018)
Professor Ina Koch, Dr Jörg Ackermann and Mr Jens Rieser from Goethe University Frankfort visited our lab. (28-29/June/2018)
Weiqi passed her viva PhD candidate Weiqi Chen successfully defended her thesis, which proposed two novel proposed active module detection algorithms. Congratulations! (25/May/2018)
James passed his viva PhD candidate James Bradbury successfully defended his thesis, which proposed algorithms and pipeline to generate novel hypothesis from metabolomics data. Congratulations! (09/March/2018)
Dong Li passed his viva PhD candidate Dong LI passed his viva. During his 2.5 years PhD study, he proposed two novel active module identification algorithms and led the team to win the DREAM Challenge. Congratulations! (03/November/2017
New members joined our lab Weifeng Li and Chengbin Hou joined us as PhD students. Weifeng will work on integrating imaging data and biological networks, and Chengbin will work on graph embedding. Welcome! (01/October/2017)
Dr Guanbo Jia landed a job He is working as a Research Fellow at Queen's University Belfast. (01/June/2017)
We won runner-up in DREAM Challenge Our team ShanHeLab, lead by PhD student Dong Li participated the Disease Module Identification DREAM Challenge. We combined own algorithm AMOUTAIN (developed by Dong Li) with other methods to identify disease modules from multiple biological networks and achieved the 2nd. Very well done! (09/Dec/2016)
Guanbo Jia passed his viva PhD candidate Guanbo Jia successfully defended his thesis, which proposed novel complex network community detection algorithms. Congratulations! (07/Dec/2016)
Two papers accepted Two papers written by our PhD students Weiqi Chen and Dong Li have been accepted by APBC 2017 (The Fifteenth Asia Pacific Bioinformatics Conference). Well done! (07/Nov/2016)
New members joined our lab David MacDonald and Han Zhang joined us as PhD students. David will work on feature learning from biological networks, and Han will work on computational methods for metabolite identification. Welcome! (01/Oct/2016)
Wenchi Yang passed his viva PhD candidate Wenchi Yang successfully defended his PhD thesis, which investigates why and how animals evolved collective behaviour using evolutionary neural networks and agent-based modelling. Congratulations! (11/July/2016)
We are looking for highly-motivated PhD students to work on the multi-disciplinary research areas in computational biology and computational intelligence. If you are interested, please email Dr Shan He to discuss potential projects and scholarship opportunities.
Email: s.he AT cs.bham.ac.uk OR heshan AT gmail.com
Phone: +44 (0) 121 414 2775
Office: Room UG36, School of Computer Science, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK