Marufa Mostofa, IT Finance Manager, Cisco

Marufa works at Cisco Systems as CX Product Management Finance Manager. Marufa has been working at Silicon Valley for over 21 years, with extensive knowledge and demonstrated history of working in the computer networking industry. She is skilled in Business Process, Requirements Analysis, Data Analysis, and Cross-functional Team Leadership.

Marufa completed her Bachelors in Science with Computer and Information Systems concentration. She attended New York Institute of Technology for her Bachelors degree and graduated with a Magna Cum Laude honor. Later, Marufa completed Master of Business Administration (MBA) focused in Information Technology from Golden Gate University.

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Sachi Ahmed, Senior Scientist, Merck & Co.

Sachi Ahmed is a senior scientist at Merck & Co. working on ADCs and bispecifics. With a background in chemical engineering, she has been a researcher in the field of cancer for 20 years and is a published author in scientific journals, including a publication in Nature magazine on nasal delivery of an IgM drug for SARS-CoV-2 variants . Sachi is also a key inventor on a US patent for glyco-engineered IgMs . Prior to Merck, she was at IGM biosciences for 7 years where she led the research antibody production team focused on novel approaches in cancer and Covid-19 therapeutics. She has also previously worked for biotechnology companies such as Abbott, Abbvie, and Merck and has expertise in in-vitro glycoengineering and antibody production to support the development of innovative biologics. Sachi was a founder of the PTPS (Peers Teaching Peers Science) program at the FAME Charter School in Fremont, CA, aimed to inspire children to gain confidence and interest in science and engineeri

Tahmida Mahmud, Ph.D., Director of Engineering, AI, Nauto

Tahmida Mahmud is the Director of Engineering, AI at Nauto, Inc leading both the Perception & Data Science teams. The teams develop AI-based algorithms related to critical external safety features (ADAS) and driver monitoring system (DMS) for automotive fleets focusing on development, large-scale deployment, and monitoring of machine learning/deep learning solutions to mitigate distracted driving, prevent collisions, model risk, coach drivers, and contribute to the advancement of self-driving technology. She received her Masters and Ph.D. in Electrical Engineering from University of California, Riverside. Her research focus is computer vision and machine learning and she has several publications in her field. She finished her Bachelors in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (BUET). She was listed as one of the 30 influential women advancing AI in 2020 by ReWork. Apart from her passion to use technology to have a real impac

Kazi Tasneem, Ph.D., Preclinical Senior Scientist, Genentech Inc.

Kazi Tasneem is a Preclinical Senior Scientist at Genentech Inc., specializing in antibody drug development with over 3 years of industry experience. She focuses on computational prediction models for drug transport in preclinical settings, overseeing the design/strategy and interpretation of pharmacokinetics/pharmacodynamics studies for antibody/biologics in cancer immunotherapy. She holds a PhD in Chemical Engineering from Vanderbilt University, a Master’s degree in Materials Science and Engineering from the University of Central Florida and a Master’s degree in Environmental Engineering from Carnegie Mellon University. She completed her Bachelor’s degree in Chemical Engineering from Bangladesh University of Engineering and Technology (BUET). Kazi is an Advisory Council Member of the Engineering Leadership Program at California State University, Chico. She has received prestigious awards, including the Best Abstract Award for biological modeling from the Society of Toxico

Silicon Valley Bangladeshi Women in STEM

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