ABOUT ME

I currently study Computer Science at the Computer Science Department in University of Illinois Urbana-Champaign (UIUC). My research focuses on computational biology problems. I am fascinated by biological science because it is extremely complex and  systematically delicate at the same time. Even though I met computer Science much later, my love for Computer Science comes strong.  I love the experience of developing something from nothing. There is no other satisfaction like applying my development to successfully solve practical problems.

I studied Biochemistry and Electrical Engineering at University of Washington (UW) in Seattle, WA. I graduated in June 2020, with a B.S. degree in Biochemistry and a B.S.E.E degree.

I’m experienced in Python, C,  Java, SQL, as well as Linux shell scripts. I have had internship and research experience working with large-scale data analysis and information extraction. 

 

ACHIEVEMENT

EDUCATION

Master of Science (Computer Science)

  • In progress
  • Expected Spring 2023

Bachelor of Science in Electrical Engineering CUM LAUDE

Bachelor of Science (Biochemistry)

  • Dean’s List for all Quarters Enrolled
  • Minor in Mathematics 
  • Honors in Biochemistry
  • Honors in Electrical Engineering

AWARDS

Mary Gates Research Scholar/Scholarship

CoMotion Mary Gates Innovation Scholar/Scholarship

RESEARCH

Machine Learning in CompBio

Machine Learning in CompBio

Combinatorial Optimization in CompBio

Combinatorial Optimization in CompBio

Medical Image Processing

Image segmentation and classification for surgical images. (Click to learn more)

Protein Production Process Development

Develope standard operating procedures for expressing and purifying de novo proteins. (Click to learn more)

Nanoparticle Development

Research on novel theranostic nanoparticle conjugates for imaging and delivering therapeutic payload in cancer therapy (Chemotherapy, Immunotherapy, Gene therapy) (Click to learn more)

PROJECTS

Web Application

Relational Database-centric Web Application. Developed backend API endpoints using Flask and frontend display using React.

Camera Calibration

Extract intrinsic and extrinsic camera parameters and distortion coefficients of a camera in order to reconstruct an accurate 3D world model. (Click to see more)

Mika

My name is Mika. I am a white Shiba. I have cute eyes and I love my mama. (Click to see more)

Mobile Doctor

(Arduino MEGA, Arduino UNO) A real-time system for monitoring and displaying (TFT) patients’ vital activities including pulse rate, respiration rate, EKG and etc. (Click to see more)

Smartender

Automated alcohol dispenser that scans users’ ID, determines users’ blood alcohol level ,and dispenses appropriate amount of alcohol based on gathered information. (Click to see more)

Net Present Value Model

Construct an expected net present value (eNPV) model to predict the future cash flow of an IL-23R inhibitor asset as a treatment for Crohn’s Disease. (Click to see more)

PUBLICATIONS

Video-based Automatic and Objective Endoscopic Sinus Surgery Skill Assessment

We studied an automatic skill assessment system based on the surgical instrument tip trajectories extracted from cadaveric trans-nasal endoscopic sinus surgery videos. We proposed a tracking algorithm by combining a segmentation-based instrument tip detector and Kalman filter. For surgical skill assessment, we explored four new motion-related metrics. The proposed method has been tested with 10 surgery videos from 4 experts and 5 trainees and shown its potential for the automatic surgical skill assessment.

Biconcave Carbon Nanodisks for Enhanced Drug Accumulation and Chemo‐Photothermal Tumor Therapy.

We develop a safe, biconcave carbon nanodisk to address this challenge for treating breast cancer. The nanodisk demonstrates fluorescent imaging capability, an exceedingly high loading capacity (947.8 mg g−1, 94.78 wt%) for doxorubicin (DOX), and pH‐responsive drug release. It exhibits a higher uptake rate by tumor cells and greater accumulation in tumors in a mouse model than its carbon nanosphere counterpart. In addition, the nanodisk absorbs and transforms near‐infrared (NIR) light to heat, which enables simultaneous NIR‐responsive drug release for chemotherapy and generation of thermal energy for tumor cell destruction. Notably, this NIR‐activated dual therapy demonstrates a near complete suppression of tumor growth in a mouse model of triple‐negative breast cancer when DOX‐loaded nanodisks are administered systemically.

Nitrogen and Boron Dual-doped Graphene Quantum Dots for Near-infrared Second Window Imaging and Photothermal Therapy

We present a new NIR-II fluorescent agent, graphene quantum dots dual-doped with both nitrogen and boron (N-B-GQDs). N-B-GQDs have an ultra-small size (~ 5 nm), are highly stable in serum, and demonstrate a peak fluorescent emission at 1000 nm and high photostability. In addition to the NIR-II imaging capability, N-B-GQDs efficiently absorb and convert NIR light into heat when irradiated by an external NIR source, demonstrating a photothermal therapeutic effect that kills cancer cells in vitro and completely suppresses tumor growth in a glioma xenograft mouse model. N-B-GQDs demonstrate a safe profile, prolonged blood half-life, and rapid excretion in mice, which are the characteristics favorable for in vivo biomedical applications.

NIR-responsive Carbon-based Nanocarriers for Switchable on/off Drug Release and Synergistic Cancer Therapy

We present a light-switchable drug delivery system based on chitosan-gated carbon-based nanocarriers (CGC NCs) that exhibit a loading capacity for doxorubicin as high as ∼89.65 wt% and controlled on/off release with/without NIR irradiation. In vitro and in vivo results show that the CGC NCs manifest high efficacy for cancer therapy through a synergistic effect of combined chemo-photothermal treatment.

ABOUT ME

I studied Biochemistry and Electrical Engineering at University of Washington in Seattle, WA. I earned a BS degree in Biochemistry and a BSEE degree in 2020.

From 2016 – 2020, I worked as an undergraduate research assistant in the lab of Miqin Zhang on applications of nanotechnology for cancer diagnosis and therapy. 

From 2019 – 2020, I worked an undergraduate research assistant in Blake Hannaford‘s lab on medical image processing.

From 2019 – 2020, I worked as a part-time research intern at the Institute for Protein Design on protein production process development.

My current life goal is to pursue higher education in Computational Biology/Bioinformatics.