Dedicated to the combination of music and technology, Daniel seeks innovated solutions to problems in both fields. He is a Music Technology PhD student in the Music and Audio Research Laboratory (MARL) at New York University. His advisors are Dr. Juan P. Bello and Dr. Leila Adu-Gilmore. His research interests lie in exploring machine learning techniques for generating representations for parameter generation in virtual instruments. His education experience has provided with knowledge of STEM and the arts, with degrees in both computer engineering and music technology. Daniel is also an active performer, primarily playing jazz piano, but also participating in performances on other instruments.
Here, Daniel's Work focuses on assisting various research projects in NYU's Music and Audio Research Laboratory (MARL). This includes personal projects focused on automatic synthesizer programming, work on updating Librosa (an MIR python library), work on the MARL's S3D projects, and work in the Critical Sonic Practice Lab.
Here, Daniel's work focused on assistantship of a research project funded by the National Science Foundation through the mathematics department at UNO. The research is focused on implementation of multidimensional search algorithms for linear programming. Applications of this research include improved optimization algorithms in fields such as machine learning or data science.
Here, Daniel worked aiding research as part of one of the National Science Foundation's prestigious Research Experiences for Undergraduates (REU) programs. The research focused on using digital signal processing and machine learning techniques to classify stressed and unstressed regions in a variety of biometric signal data. The classifications of these signals were used to inidicate the likelihood of alchohol relapse. This program was held remotely.
Here, Daniel was primarily responsible for writing software to help aid ScanMed's subsidiary company, Bot Image. This work was aimed at creating automated diagnosis for prostate cancer using machine learning. The job required a large amount of python scripting to solve problems in computer vision and machine learning. Here, Daniel also did embedded system software development for pic microcontrollers used to control MRI coils.
Here, Daniel's primary responsibility was to provide audio and visual support for a variety of experiments at boys town. his work here includes constructing an audio-visual cart to provide an easy portable way to record useful stimuli, writing organizational software for boy town's audio-visual lab, and writing scripts to auto generate request for use of boys town technical core recourses.
Daniel is very active as a musician. He is primarily a jazz pianist but has had training in other genres as well. He has studied piano under various faculty at the University of Nebraska Omaha including Dr. Kristín Jónína Taylor and Christopher Leach. He has played for a variety of ensembles, performing music from a wide variety of genres. He also plays the clarinet as a secondary instrument.
Daniel writes music, arranges rehearsals, and books gigs for the jazz influenced group, B.E.D. Trio. In 2019, the group played for Omaha Performing Arts Jazz on the Green concert series, the largest free concert series in Omaha. The event had about 4,000 people in attendance. In 2020, they played for Omaha performing arst Live on the Stream Concert Series during the Covid-19 pandemic. The group plays regularly in a variety of venues in the Omaha area. For more info, click here.
Directed by 8x Grammy-nominee Bobby Sanabria, the NYU All-University Jazz Orchestra explores the rich canon of the big band tradition in all its depth, breadth, and scope. From Afro-Cuban, Brazilian, and other Latin jazz styles, to bebop, swing, funk, fusion and beyond. The group requires high reading and improv skills. The orchestra is a full big band with 5 saxophones (lead alto doubles on soprano/flute, 2nd alto, 2 tenors, bari), 4 trumpets (lead + 3), and 4 trombones (3 + bass bone), drums/timbales, congas, bongó, percussion, vibes, and guitar. For more info, click here.
As UNO's premier concert band, the Symphonic Wind Ensemble (SWE) has developed an exemplary reputation throughout the country and abroad for its exceptional performances of high quality traditional and contemporary wind literature. Comprised of some of the most outstanding musicians on campus, SWE performs an average of five concerts a year—including the annual BOCH Festival Concert at the Holland Performing Arts Center. This group has performed internationally, including concerts in France, the Czech Republic, Austria, Poland, and an upcoming tour of Germany in 2021. Daniel is a clarinetist in this group. For more info, click here.
The award-winning UNO Jazz Ensembles continue to receive acclaim for their outstanding musical performances from internationally recognized jazz artists, clinicians, and adjudicators. Daniel has been the pianist for a variety of jazz ensembles at the University of Omaha. He played for UNO's Jazz Too big band in the 2018-2019 school year. For more info click here.
TAPEnsemble is a performer-composer collective utilizing electronic and acoustic instruments to perform diverse music from the 20th- and 21st-centuries that defies conventional boundaries. For more info click here.
Daniel is active as a gigging musician in the Omaha area. He has played for weddings, swing dancing events, and company openings. He is also an active church musician; he is a regular music director at his church and plays as a guest for a variety of churches in the Omaha or Lincoln area.
A jazz inspired piece of music written by Daniel in early 2019.
A jazz reharminization of Frédéric Chopin's Eb Nocturne Op. 9 No. 2
A jazz fusion piece written in fall 2018
Rayz explores the relationship between music, programming, and midi controllers. It uses playstation move controllers to create a variety of both prerecorded sounds as well as simple oscillators using the ChucK , a programming language for real-time sound synthesis. The four different sections of the piece focus on different choreographed movements and the sonic result, with improvisation also being an important aspect for the performance.
The Walter Scott, Jr. Scholarship Program (Scott Scholars) is the most prestigious scholarship extended by the University of Nebraska system. The scholarship provides complete funding for an undergraduate college experience that includes tuition, room and board, and whole-person learning opportunities. Eligible areas of study include majors within the UNL College of Engineering, UNO College of Information Science and Technology, and other STEM related programs.More Info
The University Honors Program is an academic learning community. The mission of the Honors Program is to provide an enhanced and supportive learning environment responsive to the educational needs of highly able and/or exceptionally motivated undergraduate students.More Info
IEEE-Eta Kappa Nu (IEEE-HKN), the honor society of IEEE, promotes excellence in the profession and in education with ideals of Scholarship, Character and Attitude.It was founded on 28 October 1904 for students of electrical engineering. Today, IEEE-HKN promotes professional accomplishment, service, and development for students and professionals in electrical engineering, computer engineering, and other IEEE fields of interest.More Info
Synthesizers have been an essential tool for composers of any style of music including computer generated sound. They allow for an expansion in timbral variety to the orchestration of a piece of music or sound scape. Sound designers are trained to be able to recreate a timbre in their head using a synthesizer. This works well for simple sounds but becomes more difficult as the number of parameters required to produce a specific timbre increase. The goal of this research project is to build a cross modal retrieval system that can retrieve correct synthesizer parameter vector given an audio signal representation.
VST synthesizer with 3 individual oscillators Each oscillator has it's own 3D binaural panner Two additional filters with ADSR parameters are includedMore Info
AFRINUM aims at renewing the discourse about innovation in Western African societies through the lens of the popular music industry. We consider digital technology as a globalized tool vs a cultural artifact to reflect upon the many specificities that this tool takes and the values to which it refers. This digital music culture will be investigated within a large range of social, economic and political contexts to which this culture participates meanwhile contributes to transforming, producing or reifying. This project is done as part of Dr. Leila Adu Gilmore's Critical Sonic Practice Lab
This is an optimization research project focussed on novel approaches to linear program solvers. It was done in the University of Nebraska Omaha's Data and Decisions Sciences Laboratory under the supervision of Dr. Fabio Torres Vitor. The project focuses on adding multidimensional searches into the traditional interior point method algorithm.
Research on wearble computing done with the Embedded & Pervaisve Systems Lab at Washington State University under the direction of Dr. Hassan Ghasemzadeh. The goal was to use biometric signal data to predict the likelood of alchohol relapse. Participants wore Empatica's E4 wristband while performing regular tasks. The signal data was analyzed for correlation with alchohol cravings and binary classification models were developed to predict the likelood of giving in to these cravings.
ProstatID™ is a software interface for post-processing MRI using cloud based computing, physician workstation integration, and AI image interpretation to provide highly accurate prostate cancer diagnostics.More Info
The objective of this project was to give students real world experience with building a microprocessor system. The microprocessor system is based on Intel's 8051 microcontroller and performs a variety of memory functions to read, edit, move, and find contents in ram. It also interfaces with a variety of IO devices such as an LCD display, a real time clock, a seven segment display, and an analog to digital converter.More Info
The Wi-Fi Synthesizer project was conceptualized as a device to read midi input and generate audio waveforms based on the information provided by the midi signal. The device would also transfer the midi signal received via Wi-Fi to a website by a http request. The midi component of the project was not included in the final application because of time restraints, but the circuitry was still included in the design. The final application outputs a 100hz audio signal with a user selected wave shape (selected from four options). The device will send data to a website indicating which waveform was last selected.More Info