Mercy Asiedu

Mercy Asiedu

Biomedical engineer: Medical devices, machine learning, Global health

Email: mnasiedu@mit.edu Phone: +1 919 909 8894

My overall interests lie in developing medical devices, to democratize healthcare and utilizing big data and deep learning techniques to improve medical diagnostics.

Education

Massachusetts institute of technology, cambridge, MA, USA

POSTDOC COMPUTER SCIENCE, MACHINE LEARNING
September 2019 - present

Duke University, DURHAM, NC, USA

PHD. BIOMEDICAL ENGINEERING, GLOBAL HEALTH
Graduated September 2019, GPA 3.8/4.0

DUKE UNIVERSITY, DURHAM, NC, USA

M.S. BIOMEDICAL ENGINEERING
Graduated May 2017, GPA: 3.7/4.0

UNIVERSITY OF ROCHESTER, ROCHESTER, NY, USA

B.S. BIOMEDICAL ENGINEERING, BUSINESS
Graduated with Distinction, May 2014

UNIVERSITY OF melbourne, melbourne, australia

B.S. BIOMEDICAL ENGINEERING, BUSINESS
Study Abroad June 2012 - Nov 2012

Holy child senior high school, cape coast, ghana

CONCENTRATION: SCIENCE
Graduated May 2009

SKILLS

MATLAB, Python, Pytorch, SolidWorks, 3D Printing, R, ORCAD, Simulink, DipTrace, Abacus, Clinical Trials

InterestS

Global Health, Machine Learning, Big Data, Medical Devices, Women’s Health, Medical Imaging

LANGUAGES

English - Expert

Akan Twi - Expert

French - Beginner

RESEARCH AND WORK Experience

Developing deep learning methods for early detection of breast cancers

Massachusetts institute of technology, Postdoctoral FELLOW

September 2019 - Present

Building neural networks in Pytorch environment to analyze breast mammograms. I am supervised by Dr. Regina Barzilay in the natural language processing (NLP) and learning to Cure group. I am supported by the Schmidt Science Post-doctoral Fellowship.

Developing computer aided diagnosis for automated cervical cancer screening

Duke university, Durham, NC BIOMEDICAL ENGINEERING DOCTORAL CANDIDATE

August 2014 - September 2019

Developed a MATLAB-based computer-aided diagnosis algorithm for cervical cancer screening using image processing and machine learning techniques. Algorithms were built to improve classification accuracy for a low-cost, point-of-care Pocket Colposcope. Results were disseminated at SPIE conference, WiML workshop and IEEE TMBE peer-reviewed journal.

DEVELOPMENT OF THE CALLASCOPE, A Low-cost, self-cerviCAL CANCER screening device

Duke university, Durham, NC BIOMEDICAL ENGINEERING DOCTORAL CANDIDATE

August 2014 - September 2019

Designed and prototyped a low-cost digital colposcope for patient-centered, speculum-free, self-cervical cancer screening. Worked with clinical collaborators to identify specifications and designed, computationally tested, and 3D printed prototypes using SolidWorks CAD software, Finite element analysis and 3D printing methods. Designed and constructed bench testing platforms and protocols. Wrote IRB protocols and implemented clinical trials to test the device with volunteers and patients in hospitals in Durham, USA, Lima Peru, and Accra, Ghana

Development of a Pocket colposcope device for LOW COST COLPOSCOPY

Duke university, Durham, NC BIOMEDICAL ENGINEERING DOCTORAL CANDIDATE

August 2014 - September 2019

Developed a MATLAB-based Graphical User Interface to enable health workers to capture cervix images, save and store images with associated patient information using the Pocket Colposcope. Performed clinical studies with the Pocket Colposcope to determine concordance of between the novel Pocket Colposcope and standard of care colposcopes. With a team, performed global value chain analysis for the Pocket Colposcope. Led a team of students to perform training of the Pocket Colposcope with 3 collaborating clinics in Lima, Peru and delivered poster presentation on findings

Development of a neonatal cardiac monitoring device

Duke university, Durham, NC BIOMEDICAL ENGINEERING DOCTORAL CANDIDATE

September 2015 - May 2016

With a team, designed and developed a neonatal cardiac monitoring device to detect congenital heart defects.

developMENT OF graphical user interface to process and analyze elastography data

Mayo clinic, Rochester, mn sUMMER rESEARCH FELLOW

May 2013 - August 2013

Developed MATLAB-based graphical user interface to process and analyze ultrasound shear wave elastography data for thyroid and breast cancer detection.

COMPUTATIONAL biomechanics of the knee

university of rochester, rochester ny research assistant

August 2012 - May 2013

Performed research on biomechanics of the knee, building computational models the tibia, based on MRI images, applying material properties and performing stress and strain tests with Abacus. Also developed equations to create custom knee sizes based on patient demographics.

MENTORSHIP AND TEACHING EXPERIENCE

DUKE UNIVERSITY DURHAM, NC

  • Jan 2017 – May 2017: Teaching assistant for Global Women’s Health Technologies, a biomedical engineering design class; taught by Dr. Nimmi Ramanujam .

  • Sep 2016 – Dec 2016: Teaching assistant for Medical Design for the developing world; taught by Dr. Bob Malkin

  • Mentored three undergraduate students in performing research related work

  • Initiated a mentorship event to provide mentorship to undergraduate African students.

SIGNIFICANT EXTRACURRICULAR ACTIVITIES

DUKE UNIVERSITY DURHAM, NC

Founder and President; Duke African Graduate and Professional Students Association

  • Founded a cultural organization to provide community for African graduate and professional students, foster sustainable cultural and social awareness, educational exchange and professional networks. Over two years, applied for and raised over $15000 in funding for various organization events. Organized elections and created an executive board to organize various events including mentorship, educational, professional networking events and symposiums which involve invited speakers such as Magatte Wade (Senegalese entrepreneur) and Tsegga Medhin (UN Women, NC Chapter)

Volunteer; introduce a girl to Photonics Conference May 2017

Volunteer; Girls STEM Conference Sep 2016