Our Team Leads

Nini Fan, MS MBA

Chief Executive Officer

Nini is a microbiome researcher with expertise in molecular biology, genomic sequencing, bioinformatics. Currently she is a CEO at MaMome and an MBA candidate at Long Island University

Nikoletta Csaben 

Head of Marketing 

Niki has a bachelors of science in Exercise and Fitness Management and holds certifications in pre and post natal health. She currently leads efforts in product development, creative content creation, social media and marketing content creation at MaMome.

Jeanmaire Molina, PhD Scientific Officer

Dr. Molina is an associate professor of biology at Long Island University (Brooklyn, New York). She is trained in evolutionary biology with multiple publications in plant genomics and herbal medicine.

Xuebin Yin, MD

Clinical Co-Investigator

Dr. Yin is an obstetrician-gynecologist with specialization in woman's reproductive tract, pregnancy and childbirth. Dr. Yin has affiliations with New York-Presbyterian Queens Hospital, NYC Health and Hospitals-Queens, and more.

Jacqueline Longworth, RDN

Clinical Registered Dietitian

Jackie is a registered dietitian nutritionist and certified lactation counselor with experience providing nutrition counseling and education  for early nutrition. Her expertise is in nutrition for the growth and development of the infant, including pregnancy and the early years of life.

Jacob Trevino, PhD

Chief Digital Officer

Dr. Trevino is a materials scientist with expertise in nanophotonic sensing and nanofabrication. He is a principal scientist at Chemeleon, an adjunct associate professor at Columbia University and Founder and president of the Nanotech Alliance and Nanotech NYC.

Joseph Morin, PhD

Director of R&D

Dr. Morin is a professor and chair of the biology department at Long Island University (Brooklyn) with expertise in oncology and molecular biology.

Taiwo Togun, PhD

Technical Officer

Dr. Togun is a visiting scientist at Brown University & co-founder of SeqHub Analytics. He has expertise in computational biology, bioinformatics, statistical analysis and machine learning.

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