- Built a data retrieval tool for electronics medical records to assist in data preprocessing for building machine learning algorithms.- Developed an automated ML-based system for medical risk prediction in the operation room deployed in Barnes Jewish Hospital, St. Louis.

Taking a break to travel (visited Russia, Kyrgyzstan, Uzbekistan and Tajikistan) and brush up my programming knowledge. Also taking up some ML challenges on Zindi.

Leadership and collaborative skills demonstrated by leading a cross functional collaboration with psychiatrists to the discovery of impairments in visual processing in Schizophrenia. Strategic planning and communication skills by planning two complete sets of experiments, analyzing their results and presenting results in 2 international conferences.Self-driven project where I had to self-learn and apply several skills such as MRI operation, patient and experiment database management leading to the construction of a dataset of over 200 hours of brain activity data currently used to prepare 3 publications.Experiments included fMRI scan for subjects viewing natural images and analysis involved decoding deep neural network features from brain activity to infer the different levels and pipelines for image processing in the brain.

Self-initiation of a complete research project including strategic planning, data collection, analysis leading to a novel deep learning and linear regression-based analysis algorithm that was published and lead starting a new collaboration and to securing ¥4.5 M in personal and xxx in lab’s funding money.Strong ability of written communication demonstrated by writing 2 publications and proofreading 8 other publications for other lab members.Leadership skills in tutoring 5 international students including assisting them with settling in Japan and in arranging a deep learning study group among several research groups

Fast learning ability demonstrated by learning functional magnetic resonance imaging (fMRI) analysis using statistical parametric mapping and FreeSurfer software as long as brain decoding mechanisms using linear regression and support vector machines.

Conducted several cross-functional collaborations with life science researchers and professionals leading to 3 publications and 4 academic presentations in international conferences.Built several electronic, microscopy and software setups for image acquisition and processing that was used in 1 published project and further used by other members in their research projects.Product and market knowledge of microscopy and imaging equipment by developing several imaging setups.

Project management by building a complete brain-computer interface (BCI) system using touch stimulation including both hardware and software with ~72% binary accuracy leading to demonstrating the feasibility of using tactile stimulation in BCI technology.Contributed to the development and maintenance of the BCI2000 software suite (widely used for brain-computer interface research and cited over 1800 times) and served as a judging panel member for the brain-computer interfacing challenge 2011.Product design ability demonstrated be designing an electronic tool for fault testing in electroencephalography equipment.