Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG)
Phone: +49 351 210-2940
Abhinav Singh is a Ph.D. student at the MOSAIC Group since August 2019. He is an Indian citizen, born in Bhusawal, India in 1995.
Abhinav studied Mathematics at the UM-DAE Centre for Excellence in Basic Sciences in Mumbai from 2014 to 2019. He was awarded the Inspire D.S.T. Scholarship for the Integrated Master of Science in Mathematics. He graduated in May, 2019.
Apart from Mathematics, Abhinav studied computer science in his projects and developed an interest in solving problems in Biology. For his Master's thesis, he worked in the 'Atoms to Intelligence' Lab led by Prof. Manoj Gopalkrishnan at the Indian Institute of Technology, Bombay. His Master's thesis is titled 'Design and Engineering of Molecular Systems that can Solve Statistical Problems'. He believes that molecules can be engineered to behave like living systems by programming them to perform learning algorithms.
During his Master's thesis, Abhinav developed a GPU implementation of the Direct Method of the Stochastic Simulation Algorithm for chemical reaction networks, a.k.a. the Gillespie Algorithm. He also invented a DNA strand displacement scheme to implement a learning algorithm for molecules, proposed by his group. He further created a new chemical algorithm to implement Hidden Markov Models with reaction networks. His work was published in the 25th International Conference for DNA Computing and Molecular Programming.
In the MOSAIC Group, Abhinav is going to work on numerical simulation of Active Polar Gels in 3D geometries. He is going to use his experience in high performance computing and his knowledge in mathematics to achieve the goal of providing both forward and inverse numerical models of active morphogenesis in arbitrary 3D shapes.