Sumit Mukherjee, Ph.D. Email & Phone Number

Kirkland, WA, US

Greater Seattle Area

South San Francisco, California, US

• Developed ML framework for genetic discovery from multi-modal clinical data.
• Tech lead of ML+genetics driven target discovery efforts in metabolic diseases (MASLD and Obesity), resulting in many novel targets.
• Developing novel multi-modal representation learning phenotypes for genetic discovery.
• Mentored junior colleagues, managed external consultants, and led patent filings.

South San Francisco, California, US

Redmond, Washington, US

Redmond, Washington, US

• Developed novel tools for privacy preserving data sharing in healthcare, leading to a long-term collaboration with University partners.
• Analyzed large scale medical claims data to identify long-term effects of COVID and breakthrough hospitalization risks by vaccine.
• Led the development of a novel COVID symptom tracking survey on Microsoft News.
• Managed a summer research intern whose work led to a published paper

Seattle, Washington, US

• Developed novel algorithms for identifying key drivers of Alzheimer's Disease using RNA-Seq data.
• Contributed to research publications in Bioinformatics and Nature Communications.
• Led hiring efforts for full-time and intern roles in the Neurodegenerative research team at Sage Bionetworks.

Seattle, WA, US

• Developed a unified framework for cell type classification and dimensionality reduction using single cell transcriptomic datasets.
• Collaborated with Dr. Su-in Lee of UW CSE & Genome Sciences to identify key regulators of differentiation processes.
• Studied noise rejection properties of biological network motifs, particularly microRNA based incoherent feedforward loops.

Seattle, Washington, US

• Developed network-based approaches for Alzheimer's disease treatment using RNA-Seq and GWAS data.
• Created R-based pipelines for network visualization and consensus module generation.
• Contributed to a cross-consortia manuscript published at Cell Reports.

Seattle, Washington, US

• Utilized Machine learning to predict sidewalk connectivity from noisy data sets
• Developed web interface for manual annotation
• Created smart adaptive routing tool for pedestrians
• Published paper in 'IBM Journal for Research & Development'

Troy, NY, US

• Developed mathematical modeling of building thermal systems using electrical circuit analogy, now widely used in HVAC control.
• Designed passivity-based controller framework for HVAC systems, improving efficiency and energy savings.
• Identified model parameters using real data from HP Labs San Francisco, enhancing system performance.
• Published 2 papers in CDC, showcasing expertise in control systems research.

Niskayuna, New York, US

Interned in the Model Based Control Lab. Responsibilities included:1) Linear Parameter Varying Modeling of Gas Turbines 2) Simulation of building HVAC systems using EnergyPlus

IN

Assisted PhD students in the lab of Dr. A. Gupta in Power Engineering department. Was involved in the following roles:1) Fractional order system identification of Pressurized heavy Water reactors 2) Developed method for estimating core temperature of reactor from indirect measurements Was secondary author in 2 published papers on the same

• Conducted mathematical modeling of a control moment gyroscope for system identification.
• Utilized Matlab to generate data from the plant for parameter identification.
• Designed and implemented PID controllers and LQG controller for the plant.

Doctor Of Philosophy (Ph.D.), Electrical And Computer Engineering

Graduate Certificate, Applied Statistics

Master Of Science (Ms), Electrical Engineering

Bachelor Of Engineering - Be, Power Engineering

Education record