-Developed an end-to-end pipeline that extracted visual feature tracks from temporal keyframes, performed poses estimation and 3D mapping on COLMAP-Developed and customized a SLAM system that enabled 6DOF pose estimation and 3D mapping, based on the Multi-State Constraint Kalman Filter (MSCKF) and Bundle Adjustment algorithm-Developed and evaluated a novel rotation representation based on the adjugate matrix of quaternion, which was integrated into the PointNet architecture to enable continuous rotation predictions for 3D pose estimation tasks (ICCV 2023)-Developed the pipeline for 3D reconstruction of the experimental motif by Neural Radiance Field (NeRF) and extended it to image data with different imaging processes-Designed an U-Net architecture with a self-attention mechanism to achieve better context awareness

My Ph.D. research focuses on the numerical simulations of bio-molecular/soft matter systems at the multi-scale level, including all-atoms molecular dynamics simulation and also mesoscale simulation to explore the generalized diffusion problem in nonequilibrium systems. Advanced sampling techniques are applied to understand the thermodynamics and kinetic information by processing simulation data.The main challenges of such projects are:1st: construct a reasonable mathematical model as a representative for the researched object in coarse-grained phase space. 2nd: to capture the rare events as well as the slow transition between meta-stable states. Typical strategies for this concern such as i) conducting large ensembles of unbiased simulations, then obtaining useful information by MSM and TPT. ii) speeding up one simulation towards rare events by bias potential, both used in my study. iii) Analytically treating the system as a non-linear dynamical system by using active field theory, and capturing the rare regimes by Large Deviation Theory (LDT)Applying advanced Probability/Statistical techniques to understand multi-physics dynamical systems are experience I am looking for.

-Studied computational chemical theories, programs, and proficient with CP2K & GROMACS; experience with FORTRAN 95.-Molecular dynamics simulations with quantum/classical description are conducted on ethyl-water droplet system. Such study helps us determine the position where ethyl radical tends to be when it interacts with water droplet. Possible hydrogen bonding network surrounding ethyl radical are also be gained by analyzing molecular dynamics trajectories.

-Professional skills in Gaussian 09 QM modeling software.- Ab initio calculation using high-level theories: MP2, QCISD and CCSD(T) conducted on ethyl radical and its complex with water. Such calculation determines spectroscopic properties and geometries information of ethyl radical and its complex with water. This study helps us to gain fundamental knowledge on nature of alkyl radical and estimate the impact of water on alkyl radical.-Ab initio calculations using Brueckner Doubles with triple correction level of theory have been applied to investigating the nature of intramolecular hydrogen bonding system in malonaldehyde (MA) and its radicals. The studies are including geometrical structures, hydrogen bond energies and proton transfer processes. The radicals considered here are the ones that correspond to the homolytic cleavage of C-H bonds.