Mali Halac Email & Phone Number

Built a novel computational discovery and development platform for noncanonical viral vector-based programmable medicines.

Designed computational models for RNA structure analysis, metagenomics, and viral vector based cargo delivery for plant therapeutics.

• Project lead for computational metagenomics.
• Automated peak alignment for nucleic acid capillary electrophoresis analysis via dynamic time warping. A critical step for high-throughput RNA structure analysis.
• Designed metagenomics pipelines for Illumina MiSeq, Nanopore MinION, PacBio, and Sanger sequencing data.
• Designed a taxonomic classifier sensitive at the genus level.
• Established a system for data transfer from Illumina MiSeq to AWS S3.
• Performed gel electrophoresis and microinjections.

Philadelphia, Pennsylvania, US

• Prepared the course content for "ENGR 131: Introductory Programming for Engineers" with Dr. Andrew Cohen for the winter term of the 2021-2022 academic year.
• Designed programming exercises and projects for Python.

Philadelphia, Pennsylvania, US

• Designed a semi-supervised incremental learning algorithm that analyzes amino acid sequences to predict protein functions. Experimented with different clustering methods.
• Developed an algorithm to reduce the computational cost to update big biological databases.
• Curated big protein data sets.
• Taught “Intro to Bash/Unix” at Biological Data Science Summer Workshop organized by our lab.

Philadelphia, Pennsylvania, US

• AEye (Artificial Eye) | Distributed Intelligent Scalable Computing (DISCO) Lab
• Worked with Dr. Anup Das on using machine learning models (CNN, GAN, NST) to analyze human fMRI activity with the purpose of reconstructing visual experiences in a digital environment.
• Developed a pipeline to improve the reconstruction accuracy for seen pictures.

Philadelphia, Pennsylvania, US

• Medical Image Segmentation with UNET | Distributed Intelligent Scalable Computing (DISCO) Lab
• Worked with Dr. Anup Das on the segmentation of brain tumors in multimodal magnetic resonance imaging (MRI) scans using UNET, a convolutional neural network for biomedical image segmentation.

Philadelphia, Pennsylvania, US

• Worked on the development of a low-cost brain-computer interface (BCI) system for people with Amyotrophic Lateral Sclerosis (ALS).
• Integrated an augmented reality (AR) goggle as BCI output with the use of an embedded computation platform for smart home control using Google Assistant.
• Designed the user interface for the BCI and translated EEG signals into computer commands.

TR

Summer Research Internship, Neuroscience.

• Worked as a salesman in Grand Bazaar, one of the most touristic places in Istanbul.
• Employed P2P business strategies to attract customers to our products.
• Employed foreign language skills to establish a relationship with our customers.
• Analyzed the competition, pricing, and marketing strategies in a perfectly competitive market.

Doctor Of Philosophy - Phd, Bioengineering

Bachelor Of Science - Bs, Electrical Engineering

High School Diploma, Social Sciences/Mathematics